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Extending affective capabilities for medical assistive robots
Affiliation:1. Henley Business School, Business Informatics Systems and Accounting, Informatics Research Centre, University of Reading, RG6 6UD, United Kingdom;2. School of Psychology and Clinical Language Sciences, University of Reading, Whiteknights Road, RG6 6AL, United Kingdom;3. Glasgow School for Business and Society, Glasgow Caledonian University, Cowcadden Road, G4 0BA, United Kingdom;1. Electrical and Electronics Engineering Department, Zonguldak Bülent Ecevit University, Zonguldak 67100, Turkey;2. Electrical and Electronics Engineering Department, Istanbul Medeniyet University, Istanbul 34700, Turkey;1. National Research Council of Italy, ICAR-CNR, Via U. La Malfa, 153, 90146, Palermo, Italy;2. DIID, University of Palermo Viale delle Scienze, building 6, 90128, Palermo, Italy
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.
Keywords:Social robots  Assistive robots  Emotion detection  Human–robot interaction
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