IIn this paper, the feature vector of a few dimension for the electromyograph (EMG) recognition systems is extracted. We aim at the construction of the comprehensive operation equipment to which the operation used frequently was summarized. Important frequency bands of EMG signals are selected by using a genetic algorithm. The EMG signals are a kind of the living organism signal. The EMG signals based on 7 operations at a wrist are measured and recognized. We perform a recognition experiment of EMG signals by neural network using the selected frequency band. We show the effectiveness of this method by means of computer simulations.
|出版ステータス||Published - 2003 9月 24|
|イベント||International Joint Conference on Neural Networks 2003 - Portland, OR, United States|
継続期間: 2003 7月 20 → 2003 7月 24
|Other||International Joint Conference on Neural Networks 2003|
|Period||03/7/20 → 03/7/24|
ASJC Scopus subject areas