Hand motion detection from EMG signals by using ANN based classifier for human computer interaction

2011 4th International Conference on Modeling, Simulation and Applied Optimization, ICMSAO 2011

Volumn , Issue , 2011, Pages

  Ahsan, Md R ^a   Ibrahimy, Muhammad I ^a   Khalifa, Othman O ^a  

^a INTERNATIONAL ISLAMIC UNIVERSITY MALAYSIA   (Malaysia)

Author keywords

Artificial Neural Network; Back Propagation; Discrete Wavelet Transform; Electromyography; Human Computer Interaction

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BACKPROPAGATION NETWORK; CLASSIFICATION EFFICIENCY; CLINICAL APPLICATION; ELECTRICAL POTENTIAL; EMG SIGNAL; FEATURE SETS; HAND MOTION; HAND MOVEMENT; HUMAN-COMPUTER; LEVENBERG-MARQUARDT TRAINING ALGORITHM; MUSCLE ACTIVITIES; MUSCLE CELL; PROCESSING TECHNOLOGIES; REHABILITATION ENGINEERING; SIMULATION RESULT; TIME FREQUENCY;

BACKPROPAGATION ALGORITHMS; COMPUTER SIMULATION; DAMAGE DETECTION; DISCRETE WAVELET TRANSFORMS; MUSCLE; NEURAL NETWORKS; OPTIMIZATION; SIGNAL DETECTION;

HUMAN COMPUTER INTERACTION;

EID: 79959680219     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMSAO.2011.5775536     Document Type: Conference Paper

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