抄録
Recently, researches of artificial arms and pointing devices using ElectroMyoGram(EMG) have been actively done. However, EMG is usually measured from a part with comparatively big muscular fibers such as arms and shoulders. Therefore, if we can recognize wrist motions using EMG which was measured from the wrist, the range of application will extend furthermore. Moreover, it is predicted that convenience in putting on and taking off the electrode improves. Therefore, we focus on EMG measured from the wrist. In this paper, we aim the construction of wrist EMG recognition system by using fast statistical method and neural network.
本文言語 | English |
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ページ | 4286-4290 |
ページ数 | 5 |
DOI | |
出版ステータス | Published - 2009 12月 1 |
外部発表 | はい |
イベント | 35th Annual Conference of the IEEE Industrial Electronics Society, IECON 2009 - Porto, Portugal 継続期間: 2009 11月 3 → 2009 11月 5 |
Other
Other | 35th Annual Conference of the IEEE Industrial Electronics Society, IECON 2009 |
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国/地域 | Portugal |
City | Porto |
Period | 09/11/3 → 09/11/5 |
ASJC Scopus subject areas
- 制御およびシステム工学
- 電子工学および電気工学