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.

Extending affective capabilities for medical assistive robots

Augello A.;Infantino I.;Pilato G.;Vitale G.
2022

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
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR - Sede Secondaria Palermo
Assistive robots
Emotion detection
Human–robot interaction
Social robots
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/515415
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