Bi-Modal detection of painful reaching for chronic pain rehabilitation systems

ICMI 2014 - Proceedings of the 2014 International Conference on Multimodal Interaction

Volumn , Issue , 2014, Pages 455-458

  Olugbade, Temitayo A ^a   Aung, M S Hane ^a   Bianchi Berthouze, Nadia ^a   Marquardt, Nicolai ^a   Williams, Amanda C ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Body movement; Electromyography; Emotion; Machine learning; Motion capture; Pain rehabilitation technology; Physical rehabilitation

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIOFEEDBACK; ELECTROMYOGRAPHY; INTERACTIVE COMPUTER SYSTEMS; LEARNING SYSTEMS; MEDICAL PROBLEMS; MUSCLE;

BODY MOVEMENTS; EMOTION; MOTION CAPTURE; PHYSICAL REHABILITATION; REHABILITATION TECHNOLOGY;

HEALTH;

EID: 84947232471     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2663204.2663261     Document Type: Conference Paper

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