Title :
EMG-based human-machine interface system
Author :
Alsayegh, Osamah A.
Author_Institution :
Syst. & Control Dept., Kuwait Inst. for Sci. Res., Safat, Kuwait
Abstract :
The paper presents an electromyographic based (EMG based) human-machine interface system. To retain a constraint-free user environment, EMG sensing is limited to three arm muscles. EMG signals are processed to attain parameters that are related to the muscles´ temporal activities. Using these parameters, a unique signature is constructed for each particular gesture. The problem of gesture classification is carried out in a framework of statistical pattern recognition. Experimental investigation was carried out to examine the system´s reliability in recognizing 12 arm gestures. The results show that the system can recognize the 12 gestures with a success rate of 96%
Keywords :
electromyography; gesture recognition; interactive systems; medical signal processing; statistical analysis; user interfaces; EMG based human-machine interface system; EMG sensing; EMG signals; arm gesture recognition; arm muscles; constraint-free user environment; electromyographic based human-machine interface system; gesture classification; statistical pattern recognition; temporal activities; unique signature; Computer displays; Control systems; Digital filters; Electromyography; Filtering; Low pass filters; Man machine systems; Muscles; Pattern recognition; Signal processing;
Conference_Titel :
Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
0-7803-6536-4
DOI :
10.1109/ICME.2000.871510
