AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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2020
Scianna, Andrea; Guardia, Marcello La
Processing of 3D Models for Networking of CH in Geomatics Journal Article
In: Communications in Computer and Information Science, vol. 1246, pp. 267–281, 2020.
Abstract | Links | BibTeX | Tags: 3D Environments, Cultural heritage, Geo-Spatial Informations, Geomatics, Virtual Reality
@article{sciannaProcessing3DModels2020a,
title = {Processing of 3D Models for Networking of CH in Geomatics},
author = { Andrea Scianna and Marcello La Guardia},
editor = { Troisi S. Vettore A. Parente C.},
doi = {10.1007/978-3-030-62800-0_21},
year = {2020},
date = {2020-01-01},
journal = {Communications in Computer and Information Science},
volume = {1246},
pages = {267--281},
publisher = {Springer Science and Business Media Deutschland GmbH},
abstract = {In recent times the possibility of reconstruction of complex 3D Cultural Heritage (CH) environments has opened new scenarios for touristic and scientific aims. The different needs for networking or conservation purposes of CH lead to study proper structuring of 3D models. In light of this, a scientific approach has been developed in order to test the networking capabilities, comparing different loading configurations of 3D environments with multiple combinations of 3D models inside them, considering different solutions. This experimentation has been based on WebGL-HTML5 technologies and allowed to discover the true balance between performances of proposed system, the quality of visualization, and the quality of information (geometric and semantic ones) characterizing the 3D visualization of the virtual environment. The present work analyzes all of these parameters in order to find the best combination for the implementation of these models into a virtual 3D Geographic Information System (GIS) environment, based on WebGL technologies and accessible via web. This study could be considered a basic step for the development of interactive geospatial information platforms for the virtual fruition of CH. textcopyright 2020, Springer Nature Switzerland AG.},
keywords = {3D Environments, Cultural heritage, Geo-Spatial Informations, Geomatics, Virtual Reality},
pubstate = {published},
tppubtype = {article}
}
In recent times the possibility of reconstruction of complex 3D Cultural Heritage (CH) environments has opened new scenarios for touristic and scientific aims. The different needs for networking or conservation purposes of CH lead to study proper structuring of 3D models. In light of this, a scientific approach has been developed in order to test the networking capabilities, comparing different loading configurations of 3D environments with multiple combinations of 3D models inside them, considering different solutions. This experimentation has been based on WebGL-HTML5 technologies and allowed to discover the true balance between performances of proposed system, the quality of visualization, and the quality of information (geometric and semantic ones) characterizing the 3D visualization of the virtual environment. The present work analyzes all of these parameters in order to find the best combination for the implementation of these models into a virtual 3D Geographic Information System (GIS) environment, based on WebGL technologies and accessible via web. This study could be considered a basic step for the development of interactive geospatial information platforms for the virtual fruition of CH. textcopyright 2020, Springer Nature Switzerland AG.
Scianna, Andrea; Gaglio, Giuseppe Fulvio; Guardia, Marcello La
DIGITAL PHOTOGRAMMETRY, TLS SURVEY and 3D MODELLING for VR and AR APPLICATIONS in CH Proceedings Article
In: N., Mallet C. Lafarge F. Remondino F. Toschi I. Fuse T. Paparoditis (Ed.): International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, pp. 901–909, International Society for Photogrammetry and Remote Sensing, 2020.
Abstract | Links | BibTeX | Tags: 3D Modelling, Augmented Reality, Digital Photogrammetry, Image Reconstruction, Terrestrial Laser Scanners, Unmanned Aerial Vehicles, Virtual Reality
@inproceedings{sciannaDIGITALPHOTOGRAMMETRYTLS2020a,
title = {DIGITAL PHOTOGRAMMETRY, TLS SURVEY and 3D MODELLING for VR and AR APPLICATIONS in CH},
author = { Andrea Scianna and Giuseppe Fulvio Gaglio and Marcello La Guardia},
editor = { Mallet C. Lafarge F. Remondino F. Toschi I. Fuse T. Paparoditis N.},
doi = {10.5194/isprs-archives-XLIII-B2-2020-901-2020},
year = {2020},
date = {2020-01-01},
booktitle = {International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives},
volume = {43},
pages = {901--909},
publisher = {International Society for Photogrammetry and Remote Sensing},
abstract = {The world of valorization of Cultural Heritage is even more focused on the virtual representation and reconstructions of digital 3D models of monuments and archaeological sites. In this scenario the quality and the performances offered by the virtual reality (VR) and augmented reality (AR) navigation take primary importance, improving the accessibility of cultural sites where the real access is not allowed for natural conditions or human possibilities. The creation of a virtual environment useful for these purposes requires a specific workflow to follow, combining different strategies in the fields of survey, 3D modelling and virtual navigation. In this work a specific case of study has been analyzed as a practical example, the church of ^gtexteuro San Giorgio dei Genovesi', settled in the Historic Centre of Palermo (Italy). The acquisition of geometric information has been obtained with the integration of Terrestrial Laser Scanner (TLS) technologies and the photogrammetric reconstruction from mini Unmanned Aerial Vehicle (UAV) equipment. The obtained point cloud has been georeferred considering a network of Ground Control Points (GCP) acquired by a Global Navigation Satellite System (GNSS) receiver. The final point cloud has been processed and properly simplified through 3D modelling procedures, to obtain a realistic and light 3D model reconstruction. The model has hence employed into a VR WEB navigation system and will be used for AR outdoor application in the future, allowing to obtain different solutions for empowering the accessibility of the cultural good. The strategy of 3D CH model reconstruction, followed in this work, could be considered a reference methodology for the development of VR gaming applications finalized to CH valorization and AR applications, applied to museums or touristic paths in historical centres. textcopyright 2020 International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives.},
keywords = {3D Modelling, Augmented Reality, Digital Photogrammetry, Image Reconstruction, Terrestrial Laser Scanners, Unmanned Aerial Vehicles, Virtual Reality},
pubstate = {published},
tppubtype = {inproceedings}
}
The world of valorization of Cultural Heritage is even more focused on the virtual representation and reconstructions of digital 3D models of monuments and archaeological sites. In this scenario the quality and the performances offered by the virtual reality (VR) and augmented reality (AR) navigation take primary importance, improving the accessibility of cultural sites where the real access is not allowed for natural conditions or human possibilities. The creation of a virtual environment useful for these purposes requires a specific workflow to follow, combining different strategies in the fields of survey, 3D modelling and virtual navigation. In this work a specific case of study has been analyzed as a practical example, the church of ^gtexteuro San Giorgio dei Genovesi', settled in the Historic Centre of Palermo (Italy). The acquisition of geometric information has been obtained with the integration of Terrestrial Laser Scanner (TLS) technologies and the photogrammetric reconstruction from mini Unmanned Aerial Vehicle (UAV) equipment. The obtained point cloud has been georeferred considering a network of Ground Control Points (GCP) acquired by a Global Navigation Satellite System (GNSS) receiver. The final point cloud has been processed and properly simplified through 3D modelling procedures, to obtain a realistic and light 3D model reconstruction. The model has hence employed into a VR WEB navigation system and will be used for AR outdoor application in the future, allowing to obtain different solutions for empowering the accessibility of the cultural good. The strategy of 3D CH model reconstruction, followed in this work, could be considered a reference methodology for the development of VR gaming applications finalized to CH valorization and AR applications, applied to museums or touristic paths in historical centres. textcopyright 2020 International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives.
Gattuta, Laura La; Langiu, Alessio; Sabatucci, Luca; Suraci, Vincenzo; Sprovieri, Mario
Affordable Remote Terminal for Sensor Observation Service. Proceedings Article
In: ICAART (1), pp. 272–278, 2020.
Abstract | Links | BibTeX | Tags: Data acquisition, Data connectivity, Environmental Monitoring, Power-efficient solutions
@inproceedings{lagattutaAffordableRemoteTerminal2020,
title = {Affordable Remote Terminal for Sensor Observation Service.},
author = { Laura La Gattuta and Alessio Langiu and Luca Sabatucci and Vincenzo Suraci and Mario Sprovieri},
doi = {10.5220/0009149802720278},
year = {2020},
date = {2020-01-01},
booktitle = {ICAART (1)},
pages = {272--278},
abstract = {In the Internet of Things era, where the availability of data connectivity and smart devices is every day spreading more and more, the capability of acquiring sensor data through a simple, affordable and power efficient solution is a promoting factor for the collaborative creation of data set according to the Open Data philosophy. This setting is particularly fitting the agent environmental monitoring through repetitive measurement of physical-chemical parameters. This manuscript presents a new software solution for data acquisition based on a Raspberry PI terminal equipped with a thermal sensor and data connectivity at the system level. It exploits the features of the Sensor Observation Service (SOS) standard, such as the data model and the communication formats, and it assumes the availability of an SOS server to archive the data. Copyright textcopyright 2020 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved},
keywords = {Data acquisition, Data connectivity, Environmental Monitoring, Power-efficient solutions},
pubstate = {published},
tppubtype = {inproceedings}
}
In the Internet of Things era, where the availability of data connectivity and smart devices is every day spreading more and more, the capability of acquiring sensor data through a simple, affordable and power efficient solution is a promoting factor for the collaborative creation of data set according to the Open Data philosophy. This setting is particularly fitting the agent environmental monitoring through repetitive measurement of physical-chemical parameters. This manuscript presents a new software solution for data acquisition based on a Raspberry PI terminal equipped with a thermal sensor and data connectivity at the system level. It exploits the features of the Sensor Observation Service (SOS) standard, such as the data model and the communication formats, and it assumes the availability of an SOS server to archive the data. Copyright textcopyright 2020 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved
Franchini, Silvia; Gentile, Antonio; Vassallo, Giorgio; Vitabile, Salvatore
Implementation and Evaluation of Medical Imaging Techniques Based on Conformal Geometric Algebra Journal Article
In: International Journal of Applied Mathematics and Computer Science, vol. 30, no. 3, pp. 415–433, 2020, ISSN: 1641-876X.
Abstract | Links | BibTeX | Tags: 3D modeling, Clifford algebra, Computational geometry, Conformal geometric algebra, Geometric algebra, Medical image registration, Medical image segmentation, Medical Imaging
@article{franchiniImplementationEvaluationMedical2020,
title = {Implementation and Evaluation of Medical Imaging Techniques Based on Conformal Geometric Algebra},
author = { Silvia Franchini and Antonio Gentile and Giorgio Vassallo and Salvatore Vitabile},
doi = {10.34768/amcs-2020-0031},
issn = {1641-876X},
year = {2020},
date = {2020-01-01},
journal = {International Journal of Applied Mathematics and Computer Science},
volume = {30},
number = {3},
pages = {415--433},
abstract = {Medical imaging tasks, such as segmentation, 3D modeling, and registration of medical images, involve complex geometric problems, usually solved by standard linear algebra and matrix calculations. In the last few decades, conformal geometric algebra (CGA) has emerged as a new approach to geometric computing that offers a simple and efficient representation of geometric objects and transformations. However, the practical use of CGA-based methods for big data image processing in medical imaging requires fast and efficient implementations of CGA operations to meet both real-time processing constraints and accuracy requirements. The purpose of this study is to present a novel implementation of CGA-based medical imaging techniques that makes them effective and practically usable. The paper exploits a new simplified formulation of CGA operators that allows significantly reduced execution times while maintaining the needed result precision. We have exploited this novel CGA formulation to re-design a suite of medical imaging automatic methods, including image segmentation, 3D reconstruction and registration. Experimental tests show that the re-formulated CGA-based methods lead to both higher precision results and reduced computation times, which makes them suitable for big data image processing applications. The segmentation algorithm provides the Dice index, sensitivity and specificity values of 98.14%, 98.05% and 97.73%, respectively, while the order of magnitude of the errors measured for the registration methods is 10-5. textcopyright 2020 Sciendo. All rights reserved.},
keywords = {3D modeling, Clifford algebra, Computational geometry, Conformal geometric algebra, Geometric algebra, Medical image registration, Medical image segmentation, Medical Imaging},
pubstate = {published},
tppubtype = {article}
}
Medical imaging tasks, such as segmentation, 3D modeling, and registration of medical images, involve complex geometric problems, usually solved by standard linear algebra and matrix calculations. In the last few decades, conformal geometric algebra (CGA) has emerged as a new approach to geometric computing that offers a simple and efficient representation of geometric objects and transformations. However, the practical use of CGA-based methods for big data image processing in medical imaging requires fast and efficient implementations of CGA operations to meet both real-time processing constraints and accuracy requirements. The purpose of this study is to present a novel implementation of CGA-based medical imaging techniques that makes them effective and practically usable. The paper exploits a new simplified formulation of CGA operators that allows significantly reduced execution times while maintaining the needed result precision. We have exploited this novel CGA formulation to re-design a suite of medical imaging automatic methods, including image segmentation, 3D reconstruction and registration. Experimental tests show that the re-formulated CGA-based methods lead to both higher precision results and reduced computation times, which makes them suitable for big data image processing applications. The segmentation algorithm provides the Dice index, sensitivity and specificity values of 98.14%, 98.05% and 97.73%, respectively, while the order of magnitude of the errors measured for the registration methods is 10-5. textcopyright 2020 Sciendo. All rights reserved.
Franchini, Silvia; Terranova, Maria Chiara; Re, Giuseppe Lo; Salerno, Sergio; Midiri, Massimo; Vitabile, Salvatore
Evaluation of a Support Vector Machine Based Method for Crohn's Disease Classification Book Section
In: Esposito, Anna; Faundez-Zanuy, Marcos; Morabito, Francesco Carlo; Pasero, Eros (Ed.): Neural Approaches to Dynamics of Signal Exchanges, pp. 313–327, Springer, Singapore, 2020, ISBN: 9789811389504.
Abstract | Links | BibTeX | Tags: Crohn's disease classification, Feature extraction, Feature reduction, K-fold cross-validation, machine learning, Magnetic Resonance Enterography, Medical Imaging, Supervised learning, Support vector machines
@incollection{franchiniEvaluationSupportVector2020,
title = {Evaluation of a Support Vector Machine Based Method for Crohn's Disease Classification},
author = { Silvia Franchini and Maria Chiara Terranova and Giuseppe Lo Re and Sergio Salerno and Massimo Midiri and Salvatore Vitabile},
editor = { Anna Esposito and Marcos {Faundez-Zanuy} and Francesco Carlo Morabito and Eros Pasero},
doi = {10.1007/978-981-13-8950-4_29},
isbn = {9789811389504},
year = {2020},
date = {2020-01-01},
urldate = {2023-03-20},
booktitle = {Neural Approaches to Dynamics of Signal Exchanges},
pages = {313--327},
publisher = {Springer},
address = {Singapore},
series = {Smart Innovation, Systems and Technologies},
abstract = {Crohn's disease (CD) is a chronic, disabling inflammatory bowel disease that affects millions of people worldwide. CD diagnosis is a challenging issue that involves a combination of radiological, endoscopic, histological, and laboratory investigations. Medical imaging plays an important role in the clinical evaluation of CD. Enterography magnetic resonance imaging (E-MRI) has been proven to be a useful diagnostic tool for disease activity assessment. However, the manual classification process by expert radiologists is time-consuming and expensive. This paper proposes the evaluation of an automatic Support Vector Machine (SVM) based supervised learning method for CD classification. A real E-MRI dataset composed of 800 patients from the University of Palermo Policlinico Hospital (400 patients with histologically proved CD and 400 healthy patients) has been used to evaluate the proposed classification technique. For each patient, a team of radiology experts has extracted a vector composed of 20 features, usually associated with CD, from the related E-MRI examination, while the histological specimen results have been used as the ground-truth for CD diagnosis. The dataset composed of 800 vectors has been used to train and validate the SVM classifier. Automatic techniques for feature space reduction have been applied and validated by the radiologists to optimize the proposed classification method, while K-fold cross-validation has been used to improve the SVM classifier reliability. The measured indexes (sensitivity: 97.07%, specificity: 96.04%, negative predictive value: 97.24%, precision: 95.80%, accuracy: 96.54%, error: 3.46%) are better than the operator-based reference values reported in the literature. Experimental results also show that the proposed method outperforms the main standard classification techniques.},
keywords = {Crohn's disease classification, Feature extraction, Feature reduction, K-fold cross-validation, machine learning, Magnetic Resonance Enterography, Medical Imaging, Supervised learning, Support vector machines},
pubstate = {published},
tppubtype = {incollection}
}
Crohn's disease (CD) is a chronic, disabling inflammatory bowel disease that affects millions of people worldwide. CD diagnosis is a challenging issue that involves a combination of radiological, endoscopic, histological, and laboratory investigations. Medical imaging plays an important role in the clinical evaluation of CD. Enterography magnetic resonance imaging (E-MRI) has been proven to be a useful diagnostic tool for disease activity assessment. However, the manual classification process by expert radiologists is time-consuming and expensive. This paper proposes the evaluation of an automatic Support Vector Machine (SVM) based supervised learning method for CD classification. A real E-MRI dataset composed of 800 patients from the University of Palermo Policlinico Hospital (400 patients with histologically proved CD and 400 healthy patients) has been used to evaluate the proposed classification technique. For each patient, a team of radiology experts has extracted a vector composed of 20 features, usually associated with CD, from the related E-MRI examination, while the histological specimen results have been used as the ground-truth for CD diagnosis. The dataset composed of 800 vectors has been used to train and validate the SVM classifier. Automatic techniques for feature space reduction have been applied and validated by the radiologists to optimize the proposed classification method, while K-fold cross-validation has been used to improve the SVM classifier reliability. The measured indexes (sensitivity: 97.07%, specificity: 96.04%, negative predictive value: 97.24%, precision: 95.80%, accuracy: 96.54%, error: 3.46%) are better than the operator-based reference values reported in the literature. Experimental results also show that the proposed method outperforms the main standard classification techniques.
Cossentino, Massimo; Lopes, Salvatore; Sabatucci, Luca
A Tool for the Automatic Generation of MOISE Organisations From BPMN. Proceedings Article
In: WOA, pp. 69, 2020.
Abstract | BibTeX | Tags: BPMN, Business Process, Multi agent systems, Self-Adaptive Systems
@inproceedings{cossentinoToolAutomaticGeneration2020,
title = {A Tool for the Automatic Generation of MOISE Organisations From BPMN.},
author = { Massimo Cossentino and Salvatore Lopes and Luca Sabatucci},
year = {2020},
date = {2020-01-01},
booktitle = {WOA},
volume = {1613},
pages = {69},
abstract = {Multi-agent systems proved successful in enacting business processes because of their inner properties (distribution of tasks, collaboration and coordination among agents). MAS adoption in enacting processes becomes even more interesting if they exhibit adaptation capabilities. The proposed approach consists in the automatic generation of a MOISE organisation from the BPMN specification of a business process. This organisation is conceived to support adaptation because of the possibility to adapt its configuration at runtime according to emerging needs. Here, we focus on the tool for processing BPMN specification and generating MOISE organization code.},
keywords = {BPMN, Business Process, Multi agent systems, Self-Adaptive Systems},
pubstate = {published},
tppubtype = {inproceedings}
}
Multi-agent systems proved successful in enacting business processes because of their inner properties (distribution of tasks, collaboration and coordination among agents). MAS adoption in enacting processes becomes even more interesting if they exhibit adaptation capabilities. The proposed approach consists in the automatic generation of a MOISE organisation from the BPMN specification of a business process. This organisation is conceived to support adaptation because of the possibility to adapt its configuration at runtime according to emerging needs. Here, we focus on the tool for processing BPMN specification and generating MOISE organization code.
Cossentino, Massimo; Lopes, Salvatore; Renda, Giovanni; Sabatucci, Luca; Zaffora, Flavia
Smartness and Autonomy for Shipboard Power Systems Reconfiguration Proceedings Article
In: Modelling and Simulation for Autonomous Systems: 6th International Conference, MESAS 2019, Palermo, Italy, October 29– 31, 2019, Revised Selected Papers 6, pp. 317–333, Springer International Publishing, 2020.
Abstract | Links | BibTeX | Tags: Adaptive fault management, Partial reconfiguration, Self-Adaptive Systems, Shipboard power system
@inproceedings{cossentinoSmartnessAutonomyShipboard2020,
title = {Smartness and Autonomy for Shipboard Power Systems Reconfiguration},
author = { Massimo Cossentino and Salvatore Lopes and Giovanni Renda and Luca Sabatucci and Flavia Zaffora},
doi = {10.1007/978-3-030-43890-6_26},
year = {2020},
date = {2020-01-01},
booktitle = {Modelling and Simulation for Autonomous Systems: 6th International Conference, MESAS 2019, Palermo, Italy, October 29– 31, 2019, Revised Selected Papers 6},
pages = {317--333},
publisher = {Springer International Publishing},
abstract = {Smart Ships represent the next generation of ships that use ICT to connect all the devices on board for integrated monitoring and safety management. In such a context, the Shipboard Power System (SPS) is critical to the survival and safety of the ship because many accidents are due to electrical failures. The SPS reconfiguration consists of a variation of the electrical topology to supply energy to critical services successfully. The proposed reconfiguration procedure uses an autonomous and mission-oriented approach, and it employs a generic-purpose self-adaptive Fault Management System. It delivers a set of possible runtime solutions that properly consider the current ship mission and operating scenario while dealing with multiple failures. Solutions, achieving a partial reconfiguration of the system, are considered when a full recovery strategy is not available according to the current ship conditions.},
keywords = {Adaptive fault management, Partial reconfiguration, Self-Adaptive Systems, Shipboard power system},
pubstate = {published},
tppubtype = {inproceedings}
}
Smart Ships represent the next generation of ships that use ICT to connect all the devices on board for integrated monitoring and safety management. In such a context, the Shipboard Power System (SPS) is critical to the survival and safety of the ship because many accidents are due to electrical failures. The SPS reconfiguration consists of a variation of the electrical topology to supply energy to critical services successfully. The proposed reconfiguration procedure uses an autonomous and mission-oriented approach, and it employs a generic-purpose self-adaptive Fault Management System. It delivers a set of possible runtime solutions that properly consider the current ship mission and operating scenario while dealing with multiple failures. Solutions, achieving a partial reconfiguration of the system, are considered when a full recovery strategy is not available according to the current ship conditions.
Cossentino, Massimo; Lopes, Salvatore; Sabatucci, Luca
Goal-Driven Adaptation of MOISE Organizations for Workflow Enactment Proceedings Article
In: Proceedings of the 8th International Workshop on Engineering Multi-agent Systems (EMAS 2020). National Research Council of Italy, 2020.
Abstract | Links | BibTeX | Tags: Agent organisations, Dynamic workflow, Goal-Oriented Approach, Self-Adaptive Systems
@inproceedings{cossentinoGoaldrivenAdaptationMOISE2020,
title = {Goal-Driven Adaptation of MOISE Organizations for Workflow Enactment},
author = { Massimo Cossentino and Salvatore Lopes and Luca Sabatucci},
doi = {10.1007/978-3-030-34914-1_31},
year = {2020},
date = {2020-01-01},
booktitle = {Proceedings of the 8th International Workshop on Engineering Multi-agent Systems (EMAS 2020). National Research Council of Italy},
abstract = {The enactment of dynamic workflows may take advantage of the multi-agent system paradigm. The approach presented in this paper allows exploiting a high-level BPMN definition to generate several agent organisations that can enact the BPMN workflow. The availability of different solutions (i.e. organisations) enables the optimisation and adaptation features of the approach. The mapping of the initial workflow to organisations starts with the automatic generation of goals from the BPMN, and it exploits a metamodeling approach to generate MOISE organisation definitions.},
keywords = {Agent organisations, Dynamic workflow, Goal-Oriented Approach, Self-Adaptive Systems},
pubstate = {published},
tppubtype = {inproceedings}
}
The enactment of dynamic workflows may take advantage of the multi-agent system paradigm. The approach presented in this paper allows exploiting a high-level BPMN definition to generate several agent organisations that can enact the BPMN workflow. The availability of different solutions (i.e. organisations) enables the optimisation and adaptation features of the approach. The mapping of the initial workflow to organisations starts with the automatic generation of goals from the BPMN, and it exploits a metamodeling approach to generate MOISE organisation definitions.
Chirico, Andrea; Maiorano, Patrizia; Indovina, Paola; Milanese, Carla; Giordano, Giovan Giacomo; Alivernini, Fabio; Iodice, Giovanni; Gallo, Luigi; Pietro, Giuseppe De; Lucidi, Fabio; Botti, Gerardo; Laurentiis, Michelino De; Giordano, Antonio
In: Journal of cellular physiology, vol. 235, no. 6, pp. 5353–5362, 2020, ISSN: 1097-4652.
Abstract | Links | BibTeX | Tags: Cancer, Chemotherapy, Healthcare, Virtual Reality
@article{chiricoVirtualRealityMusic2020,
title = {Virtual Reality and Music Therapy as Distraction Interventions to Alleviate Anxiety and Improve Mood States in Breast Cancer Patients during Chemotherapy},
author = { Andrea Chirico and Patrizia Maiorano and Paola Indovina and Carla Milanese and Giovan Giacomo Giordano and Fabio Alivernini and Giovanni Iodice and Luigi Gallo and Giuseppe De Pietro and Fabio Lucidi and Gerardo} {Botti and Michelino De Laurentiis and Antonio Giordano},
doi = {10.1002/jcp.29422},
issn = {1097-4652},
year = {2020},
date = {2020-01-01},
journal = {Journal of cellular physiology},
volume = {235},
number = {6},
pages = {5353--5362},
abstract = {Psychological distress is a common consequence of breast cancer diagnosis and treatment and could further exacerbate therapy side effects. Interventions increasing treatment tolerance are crucial to improve both patients' quality of life and adherence to therapies. Virtual reality (VR) has emerged as an effective distraction tool for different medical procedures. Here, we assessed the efficacy of immersive and interactive VR in alleviating chemotherapy-related psychological distress in a cohort of Italian breast cancer patients, also comparing its effects with those of music therapy (MT). Thirty patients were included in the VR group, 30 in the MT group, and 34 in the control group, consisting of patients receiving standard care during chemotherapy. Our data suggest that both VR and MT are useful interventions for alleviating anxiety and for improving mood states in breast cancer patients during chemotherapy. Moreover, VR seems more effective than MT in relieving anxiety, depression, and fatigue.},
keywords = {Cancer, Chemotherapy, Healthcare, Virtual Reality},
pubstate = {published},
tppubtype = {article}
}
Psychological distress is a common consequence of breast cancer diagnosis and treatment and could further exacerbate therapy side effects. Interventions increasing treatment tolerance are crucial to improve both patients' quality of life and adherence to therapies. Virtual reality (VR) has emerged as an effective distraction tool for different medical procedures. Here, we assessed the efficacy of immersive and interactive VR in alleviating chemotherapy-related psychological distress in a cohort of Italian breast cancer patients, also comparing its effects with those of music therapy (MT). Thirty patients were included in the VR group, 30 in the MT group, and 34 in the control group, consisting of patients receiving standard care during chemotherapy. Our data suggest that both VR and MT are useful interventions for alleviating anxiety and for improving mood states in breast cancer patients during chemotherapy. Moreover, VR seems more effective than MT in relieving anxiety, depression, and fatigue.
Chirico, Andrea; Giovannetti, Tania; Neroni, Pietro; Simone, Stephanie; Gallo, Luigi; Galli, Federica; Giancamilli, Francesco; Predazzi, Marco; Lucidi, Fabio; Pietro, Giuseppe De; Giordano, Antonio
In: Frontiers in Psychology, vol. 11, pp. 123, 2020, ISSN: 1664-1078.
Abstract | Links | BibTeX | Tags: Elderly, Healthcare, Monitoring, Virtual Reality
@article{chiricoVirtualRealityAssessment2020,
title = {Virtual Reality for the Assessment of Everyday Cognitive Functions in Older Adults: An Evaluation of the Virtual Reality Action Test and Two Interaction Devices in a 91-Year-Old Woman},
author = { Andrea Chirico and Tania Giovannetti and Pietro Neroni and Stephanie Simone and Luigi Gallo and Federica Galli and Francesco Giancamilli and Marco Predazzi and Fabio Lucidi and Giuseppe De Pietro and Antonio Giordano},
doi = {10.3389/fpsyg.2020.00123},
issn = {1664-1078},
year = {2020},
date = {2020-01-01},
journal = {Frontiers in Psychology},
volume = {11},
pages = {123},
abstract = {Performance-based functional tests for the evaluation of daily living activities demonstrate strong psychometric properties and solve many of the limitations associated with self- and informant-report questionnaires. Virtual reality (VR) technology, which has gained interest as an effective medium for administering interventions in the context of healthcare, has the potential to minimize the time-demands associated with the administration and scoring of performance-based assessments. To date, efforts to develop VR systems for assessment of everyday function in older adults generally have relied on non-immersive systems. The aim of the present study was to evaluate the feasibility of an immersive VR environment for the assessment of everyday function in older adults. We present a detailed case report of an elderly woman who performed an everyday activity in an immersive VR context (Virtual Reality Action Test) with two different types of interaction devices (controller vs. sensor). VR performance was compared to performance of the same task with real objects outside of the VR system (Real Action Test). Comparisons were made on several dimensions, including (1) quality of task performance (e.g., order of task steps, errors, use and speed of hand movements); (2) subjective impression (e.g., attitudes), and (3) physiological markers of stress. Subjective impressions of performance with the different controllers also were compared for presence, cybersickness, and usability. Results showed that the participant was capable of using controllers and sensors to manipulate objects in a purposeful and goal-directed manner in the immersive VR paradigm. She performed the everyday task similarly across all conditions. She reported no cybersickness and even indicated that interactions in the VR environment were pleasant and relaxing. Thus, immersive VR is a feasible approach for function assessment even with older adults who might have very limited computer experience, no prior VR exposure, average educational experiences, and mild cognitive difficulties. Because of inherent limitations of single case reports (e.g., unknown generalizability, potential practice effects, etc.), group studies are needed to establish the full psychometric properties of the Virtual Reality Action Test.},
keywords = {Elderly, Healthcare, Monitoring, Virtual Reality},
pubstate = {published},
tppubtype = {article}
}
Performance-based functional tests for the evaluation of daily living activities demonstrate strong psychometric properties and solve many of the limitations associated with self- and informant-report questionnaires. Virtual reality (VR) technology, which has gained interest as an effective medium for administering interventions in the context of healthcare, has the potential to minimize the time-demands associated with the administration and scoring of performance-based assessments. To date, efforts to develop VR systems for assessment of everyday function in older adults generally have relied on non-immersive systems. The aim of the present study was to evaluate the feasibility of an immersive VR environment for the assessment of everyday function in older adults. We present a detailed case report of an elderly woman who performed an everyday activity in an immersive VR context (Virtual Reality Action Test) with two different types of interaction devices (controller vs. sensor). VR performance was compared to performance of the same task with real objects outside of the VR system (Real Action Test). Comparisons were made on several dimensions, including (1) quality of task performance (e.g., order of task steps, errors, use and speed of hand movements); (2) subjective impression (e.g., attitudes), and (3) physiological markers of stress. Subjective impressions of performance with the different controllers also were compared for presence, cybersickness, and usability. Results showed that the participant was capable of using controllers and sensors to manipulate objects in a purposeful and goal-directed manner in the immersive VR paradigm. She performed the everyday task similarly across all conditions. She reported no cybersickness and even indicated that interactions in the VR environment were pleasant and relaxing. Thus, immersive VR is a feasible approach for function assessment even with older adults who might have very limited computer experience, no prior VR exposure, average educational experiences, and mild cognitive difficulties. Because of inherent limitations of single case reports (e.g., unknown generalizability, potential practice effects, etc.), group studies are needed to establish the full psychometric properties of the Virtual Reality Action Test.
Caggianese, Giuseppe; Capece, Nicola; Erra, Ugo; Gallo, Luigi; Rinaldi, Michele
Freehand-Steering Locomotion Techniques for Immersive Virtual Environments: A Comparative Evaluation Journal Article
In: International Journal of Human– Computer Interaction, vol. 36, no. 18, pp. 1734–1755, 2020.
Abstract | Links | BibTeX | Tags: Locomotion techniques, Natural User Interfaces, User study, Virtual Reality
@article{caggianeseFreehandSteeringLocomotionTechniques2020,
title = {Freehand-Steering Locomotion Techniques for Immersive Virtual Environments: A Comparative Evaluation},
author = { Giuseppe Caggianese and Nicola Capece and Ugo Erra and Luigi Gallo and Michele Rinaldi},
doi = {10.1080/10447318.2020.1785151},
year = {2020},
date = {2020-01-01},
journal = {International Journal of Human– Computer Interaction},
volume = {36},
number = {18},
pages = {1734--1755},
abstract = {Virtual reality has achieved significant popularity in recent years, and allowing users to move freely within an immersive virtual world has become an important factor critical to realize. The user's interactions are generally designed to increase the perceived realism, but the locomotion techniques and how these affect the user's task performance still represent an open issue, much discussed in the literature. In this article, we evaluate the efficiency and effectiveness of, and user preferences relating to, freehand locomotion techniques designed for an immersive virtual environment performed through hand gestures tracked by a sensor placed in the egocentric position and experienced through a head-mounted display. Three freehand locomotion techniques have been implemented and compared with each other, and with a baseline technique based on a controller, through qualitative and quantitative measures. An extensive user study conducted with 60 subjects shows that the proposed methods have a performance comparable to the use of the controller, further revealing the users' preference for decoupling the locomotion in sub-tasks, even if this means renouncing precision and adapting the interaction to the possibilities of the tracker sensor.},
keywords = {Locomotion techniques, Natural User Interfaces, User study, Virtual Reality},
pubstate = {published},
tppubtype = {article}
}
Virtual reality has achieved significant popularity in recent years, and allowing users to move freely within an immersive virtual world has become an important factor critical to realize. The user's interactions are generally designed to increase the perceived realism, but the locomotion techniques and how these affect the user's task performance still represent an open issue, much discussed in the literature. In this article, we evaluate the efficiency and effectiveness of, and user preferences relating to, freehand locomotion techniques designed for an immersive virtual environment performed through hand gestures tracked by a sensor placed in the egocentric position and experienced through a head-mounted display. Three freehand locomotion techniques have been implemented and compared with each other, and with a baseline technique based on a controller, through qualitative and quantitative measures. An extensive user study conducted with 60 subjects shows that the proposed methods have a performance comparable to the use of the controller, further revealing the users' preference for decoupling the locomotion in sub-tasks, even if this means renouncing precision and adapting the interaction to the possibilities of the tracker sensor.
Caggianese, Giuseppe; Pietro, Giuseppe De; Esposito, Massimo; Gallo, Luigi; Minutolo, Aniello; Neroni, Pietro
Discovering Leonardo with Artificial Intelligence and Holograms: A User Study Journal Article
In: Pattern Recognition Letters, vol. 131, pp. 361–367, 2020, ISSN: 0167-8655.
Abstract | Links | BibTeX | Tags: Artificial intelligence, Conversational systems, Cultural heritage, Holograms, Touchless interfaces, User study
@article{caggianeseDiscoveringLeonardoArtificial2020,
title = {Discovering Leonardo with Artificial Intelligence and Holograms: A User Study},
author = { Giuseppe Caggianese and Giuseppe De Pietro and Massimo Esposito and Luigi Gallo and Aniello Minutolo and Pietro Neroni},
doi = {10.1016/j.patrec.2020.01.006},
issn = {0167-8655},
year = {2020},
date = {2020-01-01},
journal = {Pattern Recognition Letters},
volume = {131},
pages = {361--367},
abstract = {Cutting-edge visualization and interaction technologies are increasingly used in museum exhibitions, providing novel ways to engage visitors and enhance their cultural experience. Existing applications are commonly built upon a single technology, focusing on visualization, motion or verbal interaction (e.g., high-resolution projections, gesture interfaces, chatbots). This aspect limits their potential, since museums are highly heterogeneous in terms of visitors profiles and interests, requiring multi-channel, customizable interaction modalities. To this aim, this work describes and evaluates an artificial intelligence powered, interactive holographic stand aimed at describing Leonardo Da Vinci's art. This system provides the users with accurate 3D representations of Leonardo's machines, which can be interactively manipulated through a touchless user interface. It is also able to dialog with the users in natural language about Leonardo's art, while keeping the context of conversation and interactions. Furthermore, the results of a large user study, carried out during art and tech exhibitions, are presented and discussed. The goal was to assess how users of different ages and interests perceive, understand and explore cultural objects when holograms and artificial intelligence are used as instruments of knowledge and analysis.},
keywords = {Artificial intelligence, Conversational systems, Cultural heritage, Holograms, Touchless interfaces, User study},
pubstate = {published},
tppubtype = {article}
}
Cutting-edge visualization and interaction technologies are increasingly used in museum exhibitions, providing novel ways to engage visitors and enhance their cultural experience. Existing applications are commonly built upon a single technology, focusing on visualization, motion or verbal interaction (e.g., high-resolution projections, gesture interfaces, chatbots). This aspect limits their potential, since museums are highly heterogeneous in terms of visitors profiles and interests, requiring multi-channel, customizable interaction modalities. To this aim, this work describes and evaluates an artificial intelligence powered, interactive holographic stand aimed at describing Leonardo Da Vinci's art. This system provides the users with accurate 3D representations of Leonardo's machines, which can be interactively manipulated through a touchless user interface. It is also able to dialog with the users in natural language about Leonardo's art, while keeping the context of conversation and interactions. Furthermore, the results of a large user study, carried out during art and tech exhibitions, are presented and discussed. The goal was to assess how users of different ages and interests perceive, understand and explore cultural objects when holograms and artificial intelligence are used as instruments of knowledge and analysis.
Bono, Adriana; Augello, Agnese; Gentile, Manuel; Gaglio, Salvatore
Social Practices Based Characters in a Robotic Storytelling System Proceedings Article
In: 29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020, pp. 90–95, Institute of Electrical and Electronics Engineers Inc., 2020, ISBN: 978-1-72816-075-7.
Abstract | Links | BibTeX | Tags: ACT-R, Cognitive Architectures, Cognitive Systems, Education, Reasoning, Robotics, Social Practices
@inproceedings{bonoSocialPracticesBased2020,
title = {Social Practices Based Characters in a Robotic Storytelling System},
author = { Adriana Bono and Agnese Augello and Manuel Gentile and Salvatore Gaglio},
doi = {10.1109/RO-MAN47096.2020.9223501},
isbn = {978-1-72816-075-7},
year = {2020},
date = {2020-01-01},
booktitle = {29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020},
pages = {90--95},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {In this work, we present a robotic storytelling system, where the characters have been modelled as cognitive agents embodied in Pepper and NAO robots. The characters have been designed by exploiting the ACT-R architecture, taking into account knowledge, behaviours, norms, and expectations typical of social practices and desires resulting from their personality. The characters explain their reasoning processes during the narration, through a sort of internal dialogue that generate a high level of credibility experienced over the audience. textcopyright 2020 IEEE.},
keywords = {ACT-R, Cognitive Architectures, Cognitive Systems, Education, Reasoning, Robotics, Social Practices},
pubstate = {published},
tppubtype = {inproceedings}
}
In this work, we present a robotic storytelling system, where the characters have been modelled as cognitive agents embodied in Pepper and NAO robots. The characters have been designed by exploiting the ACT-R architecture, taking into account knowledge, behaviours, norms, and expectations typical of social practices and desires resulting from their personality. The characters explain their reasoning processes during the narration, through a sort of internal dialogue that generate a high level of credibility experienced over the audience. textcopyright 2020 IEEE.
Bono, Adriana; Augello, Agnese; Pilato, Giovanni; Gaglio, Salvatore
Exploiting Cognitive Architectures to Design Storytelling Activities for NarRob Proceedings Article
In: Proceedings - 4th IEEE International Conference on Robotic Computing, IRC 2020, pp. 428–429, Institute of Electrical and Electronics Engineers Inc., 2020, ISBN: 978-1-72815-237-0.
Abstract | Links | BibTeX | Tags: Cognitive Architectures, Cognitive Process, Education, Interactive Storytelling, Social Robots, Storytelling Robots
@inproceedings{bonoExploitingCognitiveArchitectures2020,
title = {Exploiting Cognitive Architectures to Design Storytelling Activities for NarRob},
author = { Adriana Bono and Agnese Augello and Giovanni Pilato and Salvatore Gaglio},
doi = {10.1109/IRC.2020.00078},
isbn = {978-1-72815-237-0},
year = {2020},
date = {2020-01-01},
booktitle = {Proceedings - 4th IEEE International Conference on Robotic Computing, IRC 2020},
pages = {428--429},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {In this work, we exploited the potential of a cognitive architecture to model the characters of a story in an interactive storytelling system. The system is accessible through NarRob, a humanoid storyteller robot. Our main goal was to implement the cognitive processes of the agents played by the robot within a narrative context environment. textcopyright 2020 IEEE.},
keywords = {Cognitive Architectures, Cognitive Process, Education, Interactive Storytelling, Social Robots, Storytelling Robots},
pubstate = {published},
tppubtype = {inproceedings}
}
In this work, we exploited the potential of a cognitive architecture to model the characters of a story in an interactive storytelling system. The system is accessible through NarRob, a humanoid storyteller robot. Our main goal was to implement the cognitive processes of the agents played by the robot within a narrative context environment. textcopyright 2020 IEEE.
Bono, Adriana; Augello, Agnese; Pilato, Giovanni; Vella, Filippo; Gaglio, Salvatore
An ACT-R Based Humanoid Social Robot to Manage Storytelling Activities Journal Article
In: Robotics, vol. 9, no. 2, 2020, ISSN: 22186581.
Abstract | Links | BibTeX | Tags: ACT-R, Cognitive Architectures, Education, Humanoid Robots, Introspective Dialogs, Social Practices, Social Robots, Storytelling Robots
@article{bonoACTRBasedHumanoid2020,
title = {An ACT-R Based Humanoid Social Robot to Manage Storytelling Activities},
author = { Adriana Bono and Agnese Augello and Giovanni Pilato and Filippo Vella and Salvatore Gaglio},
doi = {10.3390/ROBOTICS9020025},
issn = {22186581},
year = {2020},
date = {2020-01-01},
journal = {Robotics},
volume = {9},
number = {2},
abstract = {This paper describes an interactive storytelling system, accessible through the SoftBank robotic platforms NAO and Pepper. The main contribution consists of the interpretation of the story characters by humanoid robots, obtained through the definition of appropriate cognitive models, relying on the ACT-R cognitive architecture. The reasoning processes leading to the story evolution are based on the represented knowledge and the suggestions of the listener in critical points of the story. They are disclosed during the narration, to make clear the dynamics of the story and the feelings of the characters. We analyzed the impact of such externalization of the internal status of the characters to set the basis for future experimentation with primary school children. textcopyright 2020 by the authors.},
keywords = {ACT-R, Cognitive Architectures, Education, Humanoid Robots, Introspective Dialogs, Social Practices, Social Robots, Storytelling Robots},
pubstate = {published},
tppubtype = {article}
}
This paper describes an interactive storytelling system, accessible through the SoftBank robotic platforms NAO and Pepper. The main contribution consists of the interpretation of the story characters by humanoid robots, obtained through the definition of appropriate cognitive models, relying on the ACT-R cognitive architecture. The reasoning processes leading to the story evolution are based on the represented knowledge and the suggestions of the listener in critical points of the story. They are disclosed during the narration, to make clear the dynamics of the story and the feelings of the characters. We analyzed the impact of such externalization of the internal status of the characters to set the basis for future experimentation with primary school children. textcopyright 2020 by the authors.
Augello, Agnese; Infantino, Ignazio; Pilato, Giovanni; Vella, Filippo
Sensing the Web for Induction of Association Rules and Their Composition through Ensemble Techniques Proceedings Article
In: A.V., Klimov V. V. Samsonovich (Ed.): Procedia Computer Science, pp. 851–859, Elsevier B.V., 2020.
Abstract | Links | BibTeX | Tags: Association Rules, Semantic Computing
@inproceedings{augelloSensingWebInduction2020,
title = {Sensing the Web for Induction of Association Rules and Their Composition through Ensemble Techniques},
author = { Agnese Augello and Ignazio Infantino and Giovanni Pilato and Filippo Vella},
editor = { Klimov V.V. Samsonovich A.V.},
doi = {10.1016/j.procs.2020.02.152},
year = {2020},
date = {2020-01-01},
booktitle = {Procedia Computer Science},
volume = {169},
pages = {851--859},
publisher = {Elsevier B.V.},
abstract = {Starting from geophysical data collected from heterogeneous sources, such as meteorological stations and information gathered from the web, we seek unknown connections between the sampled values through the extraction of association rules. These rules imply the co-occurrence of two or more symbols in the same representation, and the rule confidence may vary according to the collected data. We propose, starting from traditional algorithms such as FP-Growth and Apriori, the creation of complex association rules through boosting of simpler ones. The composition enables the creation of rules that are robust and let emerge a larger number of interesting rules. textcopyright 2020 The Authors. Published by Elsevier B.V.},
keywords = {Association Rules, Semantic Computing},
pubstate = {published},
tppubtype = {inproceedings}
}
Starting from geophysical data collected from heterogeneous sources, such as meteorological stations and information gathered from the web, we seek unknown connections between the sampled values through the extraction of association rules. These rules imply the co-occurrence of two or more symbols in the same representation, and the rule confidence may vary according to the collected data. We propose, starting from traditional algorithms such as FP-Growth and Apriori, the creation of complex association rules through boosting of simpler ones. The composition enables the creation of rules that are robust and let emerge a larger number of interesting rules. textcopyright 2020 The Authors. Published by Elsevier B.V.
Augello, Agnese; Pilato, Giovanni; Trecarichi, Gaia; Vassallo, Giorgio; Vella, Filippo
A Robotic Humanoid for Information Exploration on Cultural Heritage Domain Journal Article
In: Studies in Computational Intelligence, vol. 859, pp. 47–65, 2020, ISSN: 1860949X.
Abstract | Links | BibTeX | Tags: Cultural heritage, Humanoid Robots, Social Robots
@article{augelloRoboticHumanoidInformation2020,
title = {A Robotic Humanoid for Information Exploration on Cultural Heritage Domain},
author = { Agnese Augello and Giovanni Pilato and Gaia Trecarichi and Giorgio Vassallo and Filippo Vella},
doi = {10.1007/978-3-030-36107-5_3},
issn = {1860949X},
year = {2020},
date = {2020-01-01},
journal = {Studies in Computational Intelligence},
volume = {859},
pages = {47--65},
abstract = {The work presented here illustrates an humanoid robot capable of interacting with an human user within the Cultural Heritage domain. Two different and complementary AI approaches, namely sub-symbolic and symbolic, have been implemented and combined together to design the framework of a robot having both rational and intuitive capabilities. Furthermore, the robot is capable of providing information expressively and of adapting its behavior according to the emotional content of the artworks descriptions. This could make the robot more effective in providing information and entertaining the users. textcopyright 2020, Springer Nature Switzerland AG.},
keywords = {Cultural heritage, Humanoid Robots, Social Robots},
pubstate = {published},
tppubtype = {article}
}
The work presented here illustrates an humanoid robot capable of interacting with an human user within the Cultural Heritage domain. Two different and complementary AI approaches, namely sub-symbolic and symbolic, have been implemented and combined together to design the framework of a robot having both rational and intuitive capabilities. Furthermore, the robot is capable of providing information expressively and of adapting its behavior according to the emotional content of the artworks descriptions. This could make the robot more effective in providing information and entertaining the users. textcopyright 2020, Springer Nature Switzerland AG.
Augello, Agnese; Ciulla, Angelo; Cuzzocrea, Alfredo; Gaglio, Salvatore; Pilato, Giovanni; Vella, Filippo
A Kinect-Based Gesture Acquisition and Reproduction System for Humanoid Robots Proceedings Article
In: Gervasi, O; Murgante, B; Misra, S; Garau, C; Blecic, I; Taniar, D; relax BO Apduhan,; relax AMAC Rocha,; Tarantino, E; relax CM Torre,; Karaca, Y (Ed.): COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2020, PT I, pp. 967–977, SPRINGER INTERNATIONAL PUBLISHING AG, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, 2020, ISBN: 978-3-030-58799-4 978-3-030-58798-7.
Abstract | Links | BibTeX | Tags: Gestural Interaction, Humanoid Robots, RGB-D, Social Robots
@inproceedings{augelloKinectBasedGestureAcquisition2020,
title = {A Kinect-Based Gesture Acquisition and Reproduction System for Humanoid Robots},
author = { Agnese Augello and Angelo Ciulla and Alfredo Cuzzocrea and Salvatore Gaglio and Giovanni Pilato and Filippo Vella},
editor = { O Gervasi and B Murgante and S Misra and C Garau and I Blecic and D Taniar and {relax BO} Apduhan and {relax AMAC} Rocha and E Tarantino and {relax CM} Torre and Y Karaca},
doi = {10.1007/978-3-030-58799-4_69},
isbn = {978-3-030-58799-4 978-3-030-58798-7},
year = {2020},
date = {2020-01-01},
booktitle = {COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2020, PT I},
volume = {12249},
pages = {967--977},
publisher = {SPRINGER INTERNATIONAL PUBLISHING AG},
address = {GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND},
series = {Lecture Notes in Computer Science},
abstract = {The paper illustrates a system that endows an humanoid robot with the capability to mimic the motion of a human user in real time, serving as a basis for further gesture based human-robot interactions. The described approach uses the Microsoft Kinect as a low cost alternative to expensive motion capture devices.},
keywords = {Gestural Interaction, Humanoid Robots, RGB-D, Social Robots},
pubstate = {published},
tppubtype = {inproceedings}
}
The paper illustrates a system that endows an humanoid robot with the capability to mimic the motion of a human user in real time, serving as a basis for further gesture based human-robot interactions. The described approach uses the Microsoft Kinect as a low cost alternative to expensive motion capture devices.
Augello, Agnese; Ciulla, Angelo; Cuzzocrea, Alfredo; Gaglio, Salvatore; Pilato, Giovanni; Vella, Filippo
Towards an Intelligent System for Supporting Gesture Acquisition and Reproduction in Humanoid Robots Proceedings Article
In: DMSVIVA 2020 - Proceedings of the 26th International DMS Conference on Visualization and Visual Languages, pp. 82–86, Knowledge Systems Institute Graduate School, KSI Research Inc., 2020, ISBN: 1-891706-51-9 978-1-891706-51-6.
Abstract | Links | BibTeX | Tags: Anthropomorphic Robots, Humanoid Robots, Robotics
@inproceedings{augelloIntelligentSystemSupporting2020,
title = {Towards an Intelligent System for Supporting Gesture Acquisition and Reproduction in Humanoid Robots},
author = { Agnese Augello and Angelo Ciulla and Alfredo Cuzzocrea and Salvatore Gaglio and Giovanni Pilato and Filippo Vella},
doi = {10.18293/DMSVIVA2020-017},
isbn = {1-891706-51-9 978-1-891706-51-6},
year = {2020},
date = {2020-01-01},
booktitle = {DMSVIVA 2020 - Proceedings of the 26th International DMS Conference on Visualization and Visual Languages},
pages = {82--86},
publisher = {Knowledge Systems Institute Graduate School, KSI Research Inc.},
abstract = {In this paper, an intelligent system for supporting gesture acquisition and reproduction in humanoid robots, which is based on the well-known Microsoft Kinect framework, is introduced and discussed in this paper. The idea that has inspired the paper is represented by endowing an humanoid robot with the capability to mimic the motion of a human user in real time. As a further extension, the latter amenity may serve as a basis for further gesture based human-robot interactions. textcopyright 2020 DMSVIVA 2020 - Proceedings of the 26th International DMS Conference on Visualization and Visual Languages. All rights reserved.},
keywords = {Anthropomorphic Robots, Humanoid Robots, Robotics},
pubstate = {published},
tppubtype = {inproceedings}
}
In this paper, an intelligent system for supporting gesture acquisition and reproduction in humanoid robots, which is based on the well-known Microsoft Kinect framework, is introduced and discussed in this paper. The idea that has inspired the paper is represented by endowing an humanoid robot with the capability to mimic the motion of a human user in real time. As a further extension, the latter amenity may serve as a basis for further gesture based human-robot interactions. textcopyright 2020 DMSVIVA 2020 - Proceedings of the 26th International DMS Conference on Visualization and Visual Languages. All rights reserved.
Augello, Agnese; Daniela, Linda; Gentile, Manuel; Ifenthaler, Dirk; Pilato, Giovanni
Editorial: Robot-Assisted Learning and Education Journal Article
In: Frontiers in Robotics and AI, vol. 7, 2020, ISSN: 22969144.
Links | BibTeX | Tags: Education, Robotics
@article{augelloEditorialRobotAssistedLearning2020,
title = {Editorial: Robot-Assisted Learning and Education},
author = { Agnese Augello and Linda Daniela and Manuel Gentile and Dirk Ifenthaler and Giovanni Pilato},
doi = {10.3389/frobt.2020.591319},
issn = {22969144},
year = {2020},
date = {2020-01-01},
journal = {Frontiers in Robotics and AI},
volume = {7},
keywords = {Education, Robotics},
pubstate = {published},
tppubtype = {article}
}
Augello, Agnese; Infantino, Ignazio; Gaglio, Salvatore; Maniscalco, Umberto; Pilato, Giovanni; Vella, Filippo
An Artificial Soft Somatosensory System for a Cognitive Robot Proceedings Article
In: Proceedings - 4th IEEE International Conference on Robotic Computing, IRC 2020, pp. 319–326, Institute of Electrical and Electronics Engineers Inc., 2020, ISBN: 978-1-72815-237-0.
Abstract | Links | BibTeX | Tags: Cognitive Architectures, Reinforcement Learning, Robotics, Social Robots, Somatosensory Systems
@inproceedings{augelloArtificialSoftSomatosensory2020,
title = {An Artificial Soft Somatosensory System for a Cognitive Robot},
author = { Agnese Augello and Ignazio Infantino and Salvatore Gaglio and Umberto Maniscalco and Giovanni Pilato and Filippo Vella},
doi = {10.1109/IRC.2020.00058},
isbn = {978-1-72815-237-0},
year = {2020},
date = {2020-01-01},
booktitle = {Proceedings - 4th IEEE International Conference on Robotic Computing, IRC 2020},
pages = {319--326},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {The paper proposes an artificial somatosensory system loosely inspired by human beings' biology and embedded in a cognitive architecture (CA). It enables a robot to receive the stimulation from its embodiment, and use these sensations, we called roboceptions, to behave according to both the external environment and the internal robot status. In such a way, the robot is aware of its body and able to interpret physical sensations can be more effective in the task while maintaining its well being. The robot's physiological urges are tightly bound to the specific physical state of the robot. Positive and negative physical information can, therefore, be processed and let the robot behave in a more realistic way adopting the right trade-off between the achievement of the task and the well-being of the robot. This goal has been achieved through a reinforcement learning approach. To test these statements we considered, as a test-bench, the execution of working performances with an SoftBank NAO robot that are modulated according its body well-being. textcopyright 2020 IEEE.},
keywords = {Cognitive Architectures, Reinforcement Learning, Robotics, Social Robots, Somatosensory Systems},
pubstate = {published},
tppubtype = {inproceedings}
}
The paper proposes an artificial somatosensory system loosely inspired by human beings' biology and embedded in a cognitive architecture (CA). It enables a robot to receive the stimulation from its embodiment, and use these sensations, we called roboceptions, to behave according to both the external environment and the internal robot status. In such a way, the robot is aware of its body and able to interpret physical sensations can be more effective in the task while maintaining its well being. The robot's physiological urges are tightly bound to the specific physical state of the robot. Positive and negative physical information can, therefore, be processed and let the robot behave in a more realistic way adopting the right trade-off between the achievement of the task and the well-being of the robot. This goal has been achieved through a reinforcement learning approach. To test these statements we considered, as a test-bench, the execution of working performances with an SoftBank NAO robot that are modulated according its body well-being. textcopyright 2020 IEEE.
2019
di Baja, Gabriella Sanniti; Gallo, Luigi; Yetongnon, Kokou; Dipanda, Albert; Chbeir, Richard (Ed.)
2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Proceedings
IEEE Computer Society, 2019, ISBN: 978-1-72815-686-6.
@proceedings{sannitidibaja201915thInternational2019,
title = {2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)},
editor = { Gabriella {Sanniti di Baja} and Luigi Gallo and Kokou Yetongnon and Albert Dipanda and Richard Chbeir},
url = {https://ieeexplore.ieee.org/servlet/opac?punumber=9052528},
doi = {10.1109/SITIS48811.2019},
isbn = {978-1-72815-686-6},
year = {2019},
date = {2019-11-01},
urldate = {2019-11-01},
publisher = {IEEE Computer Society},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
Caggianese, Giuseppe; Colonnese, Valerio; Gallo, Luigi
Situated Visualization in Augmented Reality: Exploring Information Seeking Strategies Proceedings Article
In: 2019 15th International Conference on Signal-Image Technology Internet-Based Systems (SITIS), pp. 390–395, 2019.
Abstract | Links | BibTeX | Tags: Augmented Reality, Human computer interaction, Task analysis, Visualization
@inproceedings{caggianeseSituatedVisualizationAugmented2019,
title = {Situated Visualization in Augmented Reality: Exploring Information Seeking Strategies},
author = { Giuseppe Caggianese and Valerio Colonnese and Luigi Gallo},
doi = {10.1109/SITIS.2019.00069},
year = {2019},
date = {2019-11-01},
booktitle = {2019 15th International Conference on Signal-Image Technology Internet-Based Systems (SITIS)},
pages = {390--395},
abstract = {In recent years augmented reality applications have been increasingly demonstrating the requirement for an interaction with information related to and directly shown in the surrounding environment. Situated information is visualized in its semantic and spatial context, building up an environment enhanced by an information level that dynamically adapts to the production of the information and to the actions of the user. The exploration and manipulation of this type of data through see-through augmented reality devices still represents a challenging task. The development of specific interaction strategies capable to mitigating the current limitations of augmented reality devices is essential. In this context, our contribution has been to design possible solutions to address some of these challenges allowing a dynamic interaction with situated information. Following the visual "information-seeking mantra" proposed by Shneiderman and introducing some "superpowers" for the users, in this work we present different strategies aimed at obtaining an overview and filtering, and acquiring details of a collection of situated data.},
keywords = {Augmented Reality, Human computer interaction, Task analysis, Visualization},
pubstate = {published},
tppubtype = {inproceedings}
}
In recent years augmented reality applications have been increasingly demonstrating the requirement for an interaction with information related to and directly shown in the surrounding environment. Situated information is visualized in its semantic and spatial context, building up an environment enhanced by an information level that dynamically adapts to the production of the information and to the actions of the user. The exploration and manipulation of this type of data through see-through augmented reality devices still represents a challenging task. The development of specific interaction strategies capable to mitigating the current limitations of augmented reality devices is essential. In this context, our contribution has been to design possible solutions to address some of these challenges allowing a dynamic interaction with situated information. Following the visual "information-seeking mantra" proposed by Shneiderman and introducing some "superpowers" for the users, in this work we present different strategies aimed at obtaining an overview and filtering, and acquiring details of a collection of situated data.
Essmaeel, Kyis; Migniot, Cyrille; Dipanda, Albert; Gallo, Luigi; Damiani, Ernesto; Pietro, Giuseppe De
A New 3D Descriptor for Human Classification: Application for Human Detection in a Multi-Kinect System Journal Article
In: Multimedia Tools and Applications, vol. 78, no. 16, pp. 22479–22508, 2019, ISSN: 1573-7721.
Abstract | Links | BibTeX | Tags: 3D descriptor, Classification, Human detection, Kinect
@article{essmaeelNew3DDescriptor2019,
title = {A New 3D Descriptor for Human Classification: Application for Human Detection in a Multi-Kinect System},
author = { Kyis Essmaeel and Cyrille Migniot and Albert Dipanda and Luigi Gallo and Ernesto Damiani and Giuseppe De Pietro},
doi = {10.1007/s11042-019-7568-6},
issn = {1573-7721},
year = {2019},
date = {2019-08-01},
journal = {Multimedia Tools and Applications},
volume = {78},
number = {16},
pages = {22479--22508},
abstract = {In this paper we present a new 3D descriptor for human classification and a human detection method based on this descriptor. The proposed 3D descriptor allows classification of an object represented by a point cloud, as human or non-human. It is derived from the well-known Histogram of Oriented Gradient by employing surface normals instead of gradients. The process consists in an appropriate subdivision of the object point cloud into blocks. These blocks provide the spatial distribution modeling of the surface normal orientation into the different parts of the object. This distribution modelling is expressed as a histogram. In addition we have set up a multi-kinect acquisition system that provides us with Complete Point Clouds (CPC) (i.e. 360textdegree view). Such CPCs enable a suitable processing, particularly in case of occlusions. Moreover they allow for the determination of the human frontal orientation. Based on the proposed 3D descriptor, we have developed a human detection method that is applied on CPCs. First, we evaluated the 3D descriptor over a set of CPC candidates by using the Support Vector Machine (SVM) classifier. The learning process was conducted with the original CPC database that we have built. The results are very promising. The descriptor can discriminate human from non-human candidates and provides the frontal direction of humans with high precision. In addition we demonstrated that using the CPCs improves significantly the classification results in comparison with Single Point Clouds (i.e. points clouds acquired with only one kinect). Second, we compared our detection method with two others, namely the HOG detector on RGB images and a 3D HOG-based detection method that is applied on RGB-depth data. The obtained results on different situations show that the proposed human detection method provides excellent performances that outperform the other two detection methods.},
keywords = {3D descriptor, Classification, Human detection, Kinect},
pubstate = {published},
tppubtype = {article}
}
In this paper we present a new 3D descriptor for human classification and a human detection method based on this descriptor. The proposed 3D descriptor allows classification of an object represented by a point cloud, as human or non-human. It is derived from the well-known Histogram of Oriented Gradient by employing surface normals instead of gradients. The process consists in an appropriate subdivision of the object point cloud into blocks. These blocks provide the spatial distribution modeling of the surface normal orientation into the different parts of the object. This distribution modelling is expressed as a histogram. In addition we have set up a multi-kinect acquisition system that provides us with Complete Point Clouds (CPC) (i.e. 360textdegree view). Such CPCs enable a suitable processing, particularly in case of occlusions. Moreover they allow for the determination of the human frontal orientation. Based on the proposed 3D descriptor, we have developed a human detection method that is applied on CPCs. First, we evaluated the 3D descriptor over a set of CPC candidates by using the Support Vector Machine (SVM) classifier. The learning process was conducted with the original CPC database that we have built. The results are very promising. The descriptor can discriminate human from non-human candidates and provides the frontal direction of humans with high precision. In addition we demonstrated that using the CPCs improves significantly the classification results in comparison with Single Point Clouds (i.e. points clouds acquired with only one kinect). Second, we compared our detection method with two others, namely the HOG detector on RGB images and a 3D HOG-based detection method that is applied on RGB-depth data. The obtained results on different situations show that the proposed human detection method provides excellent performances that outperform the other two detection methods.
Scianna, Andrea; Guardia, Marcello La
Survey and Photogrammetric Restitution of Monumental Complexes: Issues and Solutions— the Case of the Manfredonic Castle of Mussomeli Journal Article
In: Heritage, vol. 2, no. 1, pp. 774–786, 2019.
Abstract | Links | BibTeX | Tags: Cultural heritage, GNSS, Real-Time Kinematic
@article{sciannaSurveyPhotogrammetricRestitution2019a,
title = {Survey and Photogrammetric Restitution of Monumental Complexes: Issues and Solutions— the Case of the Manfredonic Castle of Mussomeli},
author = { Andrea Scianna and Marcello La Guardia},
doi = {10.3390/heritage2010050},
year = {2019},
date = {2019-01-01},
journal = {Heritage},
volume = {2},
number = {1},
pages = {774--786},
publisher = {MDPI},
abstract = {The latest results obtained through photogrammetric restitution enhanced by GNSS (Global Navigation Satellite System) RTK (Real-Time Kinematic) survey achieved increased levels of accuracy. These survey solutions are used to rapidly obtain a detailed model with an excellent level of accuracy (centimetric) with cheaper equipment. However, the contour conditions are not always favorable for obtaining the best results in a simple way. The work presented in this paper shows the survey and the photogrammetric restitution of the Manfredonic Castle of Mussomeli in Sicily, developed as a part of the PON NEPTIS European Project, aimed at the valorization of Cultural Heritage (CH). This case is a typical example of a complex survey carried out in an impervious environment where traditional survey procedures are totally useless or require a longer amount of time and great effort if a high level of accuracy is requested. In this case, considering the natural conditions of the site, the only way to perform the task has been the use of photogrammetric restitution based on UAV (unmanned aerial vehicle) technologies and GNSS survey. The precision obtained from the results allowed us to create a geometric 3D reconstruction of the monumental complex of the castle for the valorization of the site, which was the main goal of the whole process. The procedure that is the focus of this work is a test of rapid 3D CH survey and documentation in an impervious environment. textcopyright 2019 by the authors. Licensee MDPI, Basel, Switzerland.},
keywords = {Cultural heritage, GNSS, Real-Time Kinematic},
pubstate = {published},
tppubtype = {article}
}
The latest results obtained through photogrammetric restitution enhanced by GNSS (Global Navigation Satellite System) RTK (Real-Time Kinematic) survey achieved increased levels of accuracy. These survey solutions are used to rapidly obtain a detailed model with an excellent level of accuracy (centimetric) with cheaper equipment. However, the contour conditions are not always favorable for obtaining the best results in a simple way. The work presented in this paper shows the survey and the photogrammetric restitution of the Manfredonic Castle of Mussomeli in Sicily, developed as a part of the PON NEPTIS European Project, aimed at the valorization of Cultural Heritage (CH). This case is a typical example of a complex survey carried out in an impervious environment where traditional survey procedures are totally useless or require a longer amount of time and great effort if a high level of accuracy is requested. In this case, considering the natural conditions of the site, the only way to perform the task has been the use of photogrammetric restitution based on UAV (unmanned aerial vehicle) technologies and GNSS survey. The precision obtained from the results allowed us to create a geometric 3D reconstruction of the monumental complex of the castle for the valorization of the site, which was the main goal of the whole process. The procedure that is the focus of this work is a test of rapid 3D CH survey and documentation in an impervious environment. textcopyright 2019 by the authors. Licensee MDPI, Basel, Switzerland.