Dynamic switching and real-time machine learning for improved human control of assistive biomedical robots

Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics

Volumn , Issue , 2012, Pages 296-302

  Pilarski, Patrick M ^a   Dawson, Michael R ^b   Degris, Thomas ^c   Carey, Jason P ^a   Sutton, Richard S ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

^b GLENROSE REHABILITATION HOSPITAL   (Canada)

^c INRIA National Labs   (France)

Author keywords

[No Author keywords available]

Indexed keywords

AMPUTEE PATIENTS; ASSISTIVE; CLINICAL TESTING; CONTROL CHANNELS; DYNAMIC SWITCHING; HUMAN CONTROL; HUMAN MACHINE INTERACTION; HUMAN USERS; MULTIPLE FUNCTION; ONLINE PREDICTION; OPTIMAL SWITCHING; REAL TIME; TEMPORAL DIFFERENCES; TRANSITION TIME; USER BEHAVIOUR;

ARTIFICIAL LIMBS; BEHAVIORAL RESEARCH; CONTROLLERS; REINFORCEMENT LEARNING; SWITCHING;

SWITCHING FUNCTIONS;

EID: 84867427247     PISSN: 21551774     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BioRob.2012.6290309     Document Type: Conference Paper

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