David Perpetuini
Papers
10
Total Citations
257
H-Index
7
About
David Perpetuini is a leading researcher at the intersection of affective computing, social robotics, and neurorehabilitation. His work focuses on endowing robots with emotional intelligence—using thermal infrared imaging to detect human emotions and psychophysiological states, thereby making human-robot interaction more natural and intuitive. With over 113 citations for his foundational review on thermal imaging-based affective computing, Perpetuini has pioneered methods for robots like NAO and Pepper to recognize facial expressions and emotional states, with applications ranging from cognitive impairment testing in older adults to assessing infant responses during robot interaction. A significant portion of his research addresses cerebral palsy (CP) rehabilitation. He has demonstrated, through fNIRS studies, that robotic-assisted gait training induces functional cortical plasticity in children with CP (37 citations), and has systematically reviewed the efficacy of upper-limb robotic therapy for personalized rehabilitation. His work integrates machine learning to predict motor recovery in stroke survivors, advancing precision in robotic neurorehabilitation. By combining affective computing with rehabilitation robotics, Perpetuini is shaping a future where socially aware robots not only assist in therapy but also adapt to users’ emotional and cognitive states, enhancing both clinical outcomes and user experience.
Research Focus
Key Achievements
Top Papers
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