TY - GEN
T1 - Feature analysis for the EMG signals based on the class distance
AU - Yazama, Yuuki
AU - Mitsukura, Yasue
AU - Fukumi, Minora
AU - Akamatsu, Norio
PY - 2003/1/1
Y1 - 2003/1/1
N2 - In this paper, a feature vector is extracted from an elec-tromyography (EMG) signal at a wrist, and the EMG signals based on 7 motions are recognized. In order to perform good pattern recognition, it is desirable that the distance in feature vector between classes is far, and that the variance in a class is small. In consideration of these, important frequency bands of EMG signals are selected by using a genetic algorithm. We use the selected frequency band to perform the recognition experiment of EMG signal by a neural network. Finally, the effectiveness of this method is demonstrated by means of computer simulations.
AB - In this paper, a feature vector is extracted from an elec-tromyography (EMG) signal at a wrist, and the EMG signals based on 7 motions are recognized. In order to perform good pattern recognition, it is desirable that the distance in feature vector between classes is far, and that the variance in a class is small. In consideration of these, important frequency bands of EMG signals are selected by using a genetic algorithm. We use the selected frequency band to perform the recognition experiment of EMG signal by a neural network. Finally, the effectiveness of this method is demonstrated by means of computer simulations.
UR - http://www.scopus.com/inward/record.url?scp=37249075395&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=37249075395&partnerID=8YFLogxK
U2 - 10.1109/CIRA.2003.1222292
DO - 10.1109/CIRA.2003.1222292
M3 - Conference contribution
AN - SCOPUS:37249075395
T3 - Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA
SP - 860
EP - 863
BT - Proceedings - 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2003
Y2 - 16 July 2003 through 20 July 2003
ER -