AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
How to
Here you can find the complete list of our publications.
You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
2015
Caggianese, Giuseppe; Gallo, Luigi; Neroni, Pietro
Design and Preliminary Evaluation of Free-Hand Travel Techniques for Wearable Immersive Virtual Reality Systems with Egocentric Sensing Proceedings Article
In: Paolis, Lucio Tommaso De; Mongelli, Antonio (Ed.): Augmented and Virtual Reality, pp. 399–408, Springer International Publishing Switzerland, Lecce, Italy, 2015, ISBN: 978-3-319-22887-7 978-3-319-22888-4.
Abstract | BibTeX | Tags: 3D interaction, Comparative evaluation, Ego-Vision, Leap motion, Traveling techniques
@inproceedings{caggianeseDesignPreliminaryEvaluation2015,
title = {Design and Preliminary Evaluation of Free-Hand Travel Techniques for Wearable Immersive Virtual Reality Systems with Egocentric Sensing},
author = { Giuseppe Caggianese and Luigi Gallo and Pietro Neroni},
editor = { Lucio Tommaso De Paolis and Antonio Mongelli},
isbn = {978-3-319-22887-7 978-3-319-22888-4},
year = {2015},
date = {2015-09-01},
urldate = {2016-12-06},
booktitle = {Augmented and Virtual Reality},
volume = {9254},
pages = {399--408},
publisher = {Springer International Publishing Switzerland},
address = {Lecce, Italy},
series = {Lecture Notes in Computer Science (LNCS)},
abstract = {The recent availability of low cost wearable displays coupled with contactless motion sensing devices is leveraging the design of immersive and highly interactive virtual environments. In such virtual worlds, the human-computer interface, and particularly the navigation technique, plays a crucial role. This paper presents a preliminary evaluation of traveling constraints in egocentric vision. In more detail, we describe and compare in an ego-vision scenario two travel techniques, both based on a combination of visual controls and hand gestures but proving to be different in terms of the number of travel directions allowed to the user and of the travel velocity control. The experimental results indicate that, despite the users appreciating the possibility of controlling the travel direction with both head and arrows, not all the directions are considered useful in the same way. However, direct control of the velocity proves to affect positively the navigation experience in all the considered scenarios.},
keywords = {3D interaction, Comparative evaluation, Ego-Vision, Leap motion, Traveling techniques},
pubstate = {published},
tppubtype = {inproceedings}
}
The recent availability of low cost wearable displays coupled with contactless motion sensing devices is leveraging the design of immersive and highly interactive virtual environments. In such virtual worlds, the human-computer interface, and particularly the navigation technique, plays a crucial role. This paper presents a preliminary evaluation of traveling constraints in egocentric vision. In more detail, we describe and compare in an ego-vision scenario two travel techniques, both based on a combination of visual controls and hand gestures but proving to be different in terms of the number of travel directions allowed to the user and of the travel velocity control. The experimental results indicate that, despite the users appreciating the possibility of controlling the travel direction with both head and arrows, not all the directions are considered useful in the same way. However, direct control of the velocity proves to affect positively the navigation experience in all the considered scenarios.
Essmaeel, Kyis; Gallo, Luigi; Damiani, Ernesto; Pietro, Giuseppe De; Dipanda, Albert
Comparative Evaluation of Methods for Filtering Kinect Depth Data Journal Article
In: Multimedia Tools and Applications, vol. 74, no. 17, pp. 7331–7354, 2015, ISSN: 1380-7501.
Abstract | Links | BibTeX | Tags: Comparative evaluation, Depth data, Depth instability, Filtering, Kinect, Median filter, Temporal denoising
@article{essmaeelComparativeEvaluationMethods2015,
title = {Comparative Evaluation of Methods for Filtering Kinect Depth Data},
author = { Kyis Essmaeel and Luigi Gallo and Ernesto Damiani and Giuseppe De Pietro and Albert Dipanda},
doi = {10.1007/s11042-014-1982-6},
issn = {1380-7501},
year = {2015},
date = {2015-09-01},
journal = {Multimedia Tools and Applications},
volume = {74},
number = {17},
pages = {7331--7354},
abstract = {The release of the Kinect has fostered the design of novel methods and techniques in several application domains. It has been tested in different contexts, which span from home entertainment to surgical environments. Nonetheless, to promote its adoption to solve real-world problems, the Kinect should be evaluated in terms of precision and accuracy. Up to now, some filtering approaches have been proposed to enhance the precision and accuracy of the Kinect sensor, and preliminary studies have shown promising results. In this work, we discuss the results of a study in which we have compared the most commonly used filtering approaches for Kinect depth data, in both static and dynamic contexts, by using novel metrics. The experimental results show that each approach can be profitably used to enhance the precision and/or accuracy of Kinect depth data in a specific context, whereas the temporal filtering approach is able to reduce noise in different experimental conditions.},
keywords = {Comparative evaluation, Depth data, Depth instability, Filtering, Kinect, Median filter, Temporal denoising},
pubstate = {published},
tppubtype = {article}
}
The release of the Kinect has fostered the design of novel methods and techniques in several application domains. It has been tested in different contexts, which span from home entertainment to surgical environments. Nonetheless, to promote its adoption to solve real-world problems, the Kinect should be evaluated in terms of precision and accuracy. Up to now, some filtering approaches have been proposed to enhance the precision and accuracy of the Kinect sensor, and preliminary studies have shown promising results. In this work, we discuss the results of a study in which we have compared the most commonly used filtering approaches for Kinect depth data, in both static and dynamic contexts, by using novel metrics. The experimental results show that each approach can be profitably used to enhance the precision and/or accuracy of Kinect depth data in a specific context, whereas the temporal filtering approach is able to reduce noise in different experimental conditions.
Caggianese, Giuseppe; Gallo, Luigi; Neroni, Pietro
Design and Preliminary Evaluation of Free-Hand Travel Techniques for Wearable Immersive Virtual Reality Systems with Egocentric Sensing Proceedings Article
In: Paolis, Lucio Tommaso De; Mongelli, Antonio (Ed.): Augmented and Virtual Reality, pp. 399–408, Springer International Publishing Switzerland, Lecce, Italy, 2015, ISBN: 978-3-319-22887-7 978-3-319-22888-4.
Abstract | Links | BibTeX | Tags: 3D interaction, Comparative evaluation, Ego-Vision, Leap motion, Traveling techniques
@inproceedings{caggianese_design_2015,
title = {Design and Preliminary Evaluation of Free-Hand Travel Techniques for Wearable Immersive Virtual Reality Systems with Egocentric Sensing},
author = {Giuseppe Caggianese and Luigi Gallo and Pietro Neroni},
editor = {Lucio Tommaso De Paolis and Antonio Mongelli},
url = {http://link.springer.com/10.1007/978-3-319-22888-4_29},
isbn = {978-3-319-22887-7 978-3-319-22888-4},
year = {2015},
date = {2015-09-01},
urldate = {2016-12-06},
booktitle = {Augmented and Virtual Reality},
volume = {9254},
pages = {399–408},
publisher = {Springer International Publishing Switzerland},
address = {Lecce, Italy},
series = {Lecture Notes in Computer Science (LNCS)},
abstract = {The recent availability of low cost wearable displays coupled with contactless motion sensing devices is leveraging the design of immersive and highly interactive virtual environments. In such virtual worlds, the human-computer interface, and particularly the navigation technique, plays a crucial role. This paper presents a preliminary evaluation of traveling constraints in egocentric vision. In more detail, we describe and compare in an ego-vision scenario two travel techniques, both based on a combination of visual controls and hand gestures but proving to be different in terms of the number of travel directions allowed to the user and of the travel velocity control. The experimental results indicate that, despite the users appreciating the possibility of controlling the travel direction with both head and arrows, not all the directions are considered useful in the same way. However, direct control of the velocity proves to affect positively the navigation experience in all the considered scenarios.},
keywords = {3D interaction, Comparative evaluation, Ego-Vision, Leap motion, Traveling techniques},
pubstate = {published},
tppubtype = {inproceedings}
}
The recent availability of low cost wearable displays coupled with contactless motion sensing devices is leveraging the design of immersive and highly interactive virtual environments. In such virtual worlds, the human-computer interface, and particularly the navigation technique, plays a crucial role. This paper presents a preliminary evaluation of traveling constraints in egocentric vision. In more detail, we describe and compare in an ego-vision scenario two travel techniques, both based on a combination of visual controls and hand gestures but proving to be different in terms of the number of travel directions allowed to the user and of the travel velocity control. The experimental results indicate that, despite the users appreciating the possibility of controlling the travel direction with both head and arrows, not all the directions are considered useful in the same way. However, direct control of the velocity proves to affect positively the navigation experience in all the considered scenarios.
Essmaeel, Kyis; Gallo, Luigi; Damiani, Ernesto; Pietro, Giuseppe De; Dipanda, Albert
Comparative evaluation of methods for filtering Kinect depth data Journal Article
In: Multimedia Tools and Applications, vol. 74, no. 17, pp. 7331–7354, 2015, ISSN: 1380-7501.
Abstract | Links | BibTeX | Tags: Comparative evaluation, Depth data, Depth instability, Filtering, Kinect, Median filter, Temporal denoising
@article{essmaeel_comparative_2015,
title = {Comparative evaluation of methods for filtering Kinect depth data},
author = {Kyis Essmaeel and Luigi Gallo and Ernesto Damiani and Giuseppe De Pietro and Albert Dipanda},
doi = {10.1007/s11042-014-1982-6},
issn = {1380-7501},
year = {2015},
date = {2015-09-01},
journal = {Multimedia Tools and Applications},
volume = {74},
number = {17},
pages = {7331–7354},
abstract = {The release of the Kinect has fostered the design of novel methods and techniques in several application domains. It has been tested in different contexts, which span from home entertainment to surgical environments. Nonetheless, to promote its adoption to solve real-world problems, the Kinect should be evaluated in terms of precision and accuracy. Up to now, some filtering approaches have been proposed to enhance the precision and accuracy of the Kinect sensor, and preliminary studies have shown promising results. In this work, we discuss the results of a study in which we have compared the most commonly used filtering approaches for Kinect depth data, in both static and dynamic contexts, by using novel metrics. The experimental results show that each approach can be profitably used to enhance the precision and/or accuracy of Kinect depth data in a specific context, whereas the temporal filtering approach is able to reduce noise in different experimental conditions.},
keywords = {Comparative evaluation, Depth data, Depth instability, Filtering, Kinect, Median filter, Temporal denoising},
pubstate = {published},
tppubtype = {article}
}
The release of the Kinect has fostered the design of novel methods and techniques in several application domains. It has been tested in different contexts, which span from home entertainment to surgical environments. Nonetheless, to promote its adoption to solve real-world problems, the Kinect should be evaluated in terms of precision and accuracy. Up to now, some filtering approaches have been proposed to enhance the precision and accuracy of the Kinect sensor, and preliminary studies have shown promising results. In this work, we discuss the results of a study in which we have compared the most commonly used filtering approaches for Kinect depth data, in both static and dynamic contexts, by using novel metrics. The experimental results show that each approach can be profitably used to enhance the precision and/or accuracy of Kinect depth data in a specific context, whereas the temporal filtering approach is able to reduce noise in different experimental conditions.