Publications

@article{augelloExtendingAffectiveCapabilities2022,

title = {Extending Affective Capabilities for Medical Assistive Robots},

author = { Agnese Augello and Ignazio Infantino and Giovanni Pilato and Gianpaolo Vitale},

doi = {10.1016/j.cogsys.2021.12.004},

issn = {13890417},

year  = {2022},

date = {2022-01-01},

journal = {Cognitive Systems Research},

volume = {73},

pages = {21--25},

abstract = {In this work, we discuss methodologies and implementation choices to enable a humanoid robot to estimate patients' mood and emotions during postoperative home rehabilitation. The approach is modular and it has been implemented into a SoftBank Pepper robotic architecture; however, the approach is general and it can be easily adapted to other robotic platforms. A sample of an interactive session for the detection of the patient's affective state is also reported. textcopyright 2022 Elsevier B.V.},

keywords = {Anthropomorphic Robots, Assistive Robots, Emotion Detection, Facial Expressions, Human computer interaction, Human Robot Interaction, Humanoid Robots, Natural Language Processing, Robotics, Wellbeing},

pubstate = {published},

tppubtype = {article}

}

@article{augello_extending_2022,

title = {Extending affective capabilities for medical assistive robots},

author = {Agnese Augello and Ignazio Infantino and Giovanni Pilato and Gianpaolo Vitale},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123046436&doi=10.1016%2fj.cogsys.2021.12.004&partnerID=40&md5=6e76332f7f95333a9ae2e8f11c054622},

doi = {10.1016/j.cogsys.2021.12.004},

issn = {13890417},

year  = {2022},

date = {2022-01-01},

journal = {Cognitive Systems Research},

volume = {73},

pages = {21–25},

abstract = {In this work, we discuss methodologies and implementation choices to enable a humanoid robot to estimate patients’ mood and emotions during postoperative home rehabilitation. The approach is modular and it has been implemented into a SoftBank Pepper robotic architecture; however, the approach is general and it can be easily adapted to other robotic platforms. A sample of an interactive session for the detection of the patient's affective state is also reported. © 2022 Elsevier B.V.},

keywords = {Anthropomorphic Robots, Assistive Robots, Emotion Detection, Facial Expressions, Human computer interaction, Human Robot Interaction, Humanoid Robots, Natural Language Processing, Robotics, Wellbeing},

pubstate = {published},

tppubtype = {article}

}