Recognition of wrist motion pattern by EMG

Tadahiro Oyama, Yuji Matsumura, Stephen Karungaru, Yasue Mitsukura, Minoru Fukumi

研究成果: Conference contribution

9 被引用数 (Scopus)

抄録

Recently, studies of artificial arms and pointing devices using ElectroMyoGram(EMG) have been actively done. However, the individual variation of EMG is large, and its repeatability is low. Furthermore, EMG is usually measured from a part with comparatively big muscular fibers such as arms and shoulders. Therefore, if we can recognize wrist operations using EMG which was measured from the wrist, the range of application will extend furthermore. In this study, we aim toward the development of a device of wristwatch type that consolidates operational interface of various equipments. In particular, as an early stage, we propose a wrist motion recognition system. First, we execute the Fourier transform to the signal for feature extraction. Next, we experiment it by using neural networks after the dimensional reduction by using Simple-PCA and Simple-FLDA to reduce the number of inputs to NN. It was confirmed that the present approach was one of the techniques which were effective in the wrist recognition experiment.

本文言語English
ホスト出版物のタイトル2006 SICE-ICASE International Joint Conference
ページ599-603
ページ数5
DOI
出版ステータスPublished - 2006 12 1
外部発表はい
イベント2006 SICE-ICASE International Joint Conference - Busan, Korea, Republic of
継続期間: 2006 10 182006 10 21

出版物シリーズ

名前2006 SICE-ICASE International Joint Conference

Other

Other2006 SICE-ICASE International Joint Conference
CountryKorea, Republic of
CityBusan
Period06/10/1806/10/21

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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