A novel technique for classification of myoelectric signals for prosthesis

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 35, Issue 1, 2002, Pages 447-451

  Karlik, B ^a   Tokhi, M O ^b   Alci, M ^c  

^a UNIVERSITY OF BAHRAIN   (Bahrain)

^b UNIVERSITY OF SHEFFIELD   (United Kingdom)

^c EGE UNIVERSITY   (Turkey)

Author keywords

Fuzzy clustering; Myoelectric signal; Neural network; Pattern recognition

Indexed keywords

AUTOMATION; BACKPROPAGATION ALGORITHMS; FUZZY CLUSTERING; FUZZY INFERENCE; FUZZY LOGIC; NETWORK ARCHITECTURE; NEURAL NETWORKS; PATTERN RECOGNITION;

CLASSIFICATION ACCURACY; COMPARATIVE STUDIES; COMPUTATIONAL EFFORT; ELBOW EXTENSION; MULTI LAYER PERCEPTRON; MYOELECTRIC SIGNALS; NEURAL NETWORK ALGORITHM; NOVEL TECHNIQUES;

MYOELECTRICALLY CONTROLLED PROSTHETICS;

EID: 84945564523     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20020721-6-es-1901.00980     Document Type: Conference Paper

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