Data di Pubblicazione:
2022
Abstract:
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.
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.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Socially Assistive Robots; mood detection; postoperative home rehabilitation
Elenco autori:
Vitale, Gianpaolo; Pilato, Giovanni; Infantino, Ignazio; Augello, Agnese
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