A real-time EMG pattern recognition system based on linear-nonlinear feature projection for a multifunction myoelectric hand

IEEE Transactions on Biomedical Engineering

Volumn 53, Issue 11, 2006, Pages 2232-2239

  Chu, Jun Uk ^a,b   Moon, Inhyuk ^a,c   Mun, Mu Seong ^b  

^a Korea Orthopedics and Rehabilitation Engineering Center ^*

^b Korea Orthopedics Rehabilitation Engineering Center   (South Korea)

^c Dong Eui University   (South Korea)

Author keywords

EMG; Linear nonlinear feature projection; Pattern recognition; Principal components analysis; Self organizing feature map; Wavelet packet transform

Indexed keywords

CONFORMAL MAPPING; MYOELECTRICALLY CONTROLLED PROSTHETICS; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; REAL TIME SYSTEMS; SELF ORGANIZING MAPS; VIRTUAL REALITY; WAVELET TRANSFORMS;

FEATURE PROJECTIONS; LINEAR-NONLINEAR FEATURE PROJECTION; NONLINEAR MAPPING; WAVELET PACKET TRANSFORM;

ELECTROMYOGRAPHY;

ACCURACY; ADULT; ARTICLE; AUTOMATED PATTERN RECOGNITION; CONTROLLED STUDY; ELECTROMYOGRAM; FEMALE; HAND; HAND MOVEMENT; HAND MUSCLE; HUMAN; LINEAR SYSTEM; MALE; MATHEMATICAL COMPUTING; METHODOLOGY; MYOELECTRICITY; NONLINEAR SYSTEM; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; SIGNAL DETECTION; SIGNAL PROCESSING;

EID: 33750334730     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2006.883695     Document Type: Article

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