On the challenge of classifying 52 hand movements from surface electromyography

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2012, Pages 4931-4937

  Kuzborskij, Ilja ^a   Gijsberts, Arjan ^a   Caputo, Barbara ^a  

^a IDIAP RESEARCH INSTITUTE   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

ABSOLUTE VALUES; FEATURE EXTRACTION AND CLASSIFICATION; FEATURE EXTRACTION METHODS; FEATURE REPRESENTATION; HAND MOVEMENT; HAND PROSTHESIS; SURFACE ELECTROMYOGRAPHY; SURFACE ELECTROMYOGRAPHY SIGNALS; WAVE FORMS;

DISCRETE WAVELET TRANSFORMS; FEATURE EXTRACTION;

MYOELECTRICALLY CONTROLLED PROSTHETICS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; ELECTROMYOGRAPHY; HAND; HUMAN; METHODOLOGY; MOVEMENT (PHYSIOLOGY); MUSCLE CONTRACTION; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SKELETAL MUSCLE;

ALGORITHMS; ELECTROMYOGRAPHY; HAND; HUMANS; MOVEMENT; MUSCLE CONTRACTION; MUSCLE, SKELETAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

MLCS; MLOWN;

EID: 84880949757     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2012.6347099     Document Type: Conference Paper

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