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)


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.

ホスト出版物のタイトル2006 SICE-ICASE International Joint Conference
出版ステータスPublished - 2006 12 1
イベント2006 SICE-ICASE International Joint Conference - Busan, Korea, Republic of
継続期間: 2006 10 182006 10 21


名前2006 SICE-ICASE International Joint Conference


Other2006 SICE-ICASE International Joint Conference
CountryKorea, Republic of

ASJC Scopus subject areas

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

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