Hybrid EMG recognition system by MDA and PCA

Yuji Matsumura, Minoru Fukumi, Yasue Mitsukura

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

In this paper, we propose a recognition system of wrist operation by focusing on ElectroMyoGram (EMG), that is, the living body signal generated with movement of a subject. In previous research, we only performed pattern recognition by Neural Network (NN) and Fast Fourier Transform (FFT). In contrast, in proposal research, we try to improve recognition accuracy and reduce learning-time of system by combining Multi Discriminant Analysis (MDA) and gradual Principal Component Analysis (PCA) based on the PCA result of EMG data. From results of computer simulation, it is shown that our approach is effective for improvement in recognition accuracy and speed.

本文言語English
ホスト出版物のタイトルInternational Joint Conference on Neural Networks 2006, IJCNN '06
出版社Institute of Electrical and Electronics Engineers Inc.
ページ5294-5300
ページ数7
ISBN(印刷版)0780394909, 9780780394902
DOI
出版ステータスPublished - 2006 1 1
外部発表はい
イベントInternational Joint Conference on Neural Networks 2006, IJCNN '06 - Vancouver, BC, Canada
継続期間: 2006 7 162006 7 21

出版物シリーズ

名前IEEE International Conference on Neural Networks - Conference Proceedings
ISSN(印刷版)1098-7576

Other

OtherInternational Joint Conference on Neural Networks 2006, IJCNN '06
CountryCanada
CityVancouver, BC
Period06/7/1606/7/21

ASJC Scopus subject areas

  • Software

フィンガープリント 「Hybrid EMG recognition system by MDA and PCA」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル