Title :
Recognition system of EMG patterns by neural networks
Author :
Matsumura, Yuji ; Fukumi, Minoru ; Mitsukura, Yasue ; Akamatsu, Norio ; Yamamoto, Yoshihiro ; Nakaura, Kazubiro
Author_Institution :
Fac. of Eng., Tokushima Univ., Japan
Abstract :
This paper tries to recognize EMG signals by using neural networks, These EMG signals are classified into seven categories, such as neutral, up and down. right and left, wrist to inside and wrist to outside. The neural network learns FFT spectra to classify them. It is shown that our approach is effective to classify the EMG signals by means of computer simulations.
Keywords :
electromyography; fast Fourier transforms; pattern classification; pattern recognition; EMG signals; FFT; neural networks; pattern recognition; signal recognition; Electromyography; Electronic mail; Filters; Fourier transforms; Frequency; Neural networks; Noise reduction; Pattern recognition; Performance analysis; Wrist;
Conference_Titel :
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN :
0-7803-7631-5
DOI :
10.1109/SICE.2002.1196553
