Proposal of anticipatory pattern recognition for EMG prosthetic hand control

Toshiyuki Kondo, Osamu Amagi, Takayuki Nozawa

研究成果: Conference article査読

8 被引用数 (Scopus)

抄録

In the paper, we proposed an anticipatory pattern recognition method for an electromyogram (EMG) prosthetic hand control. To detect humans' motor intentions as fast as possible, we focused on the transient state of the EMG signals. We sampled the EMG signals from a human forearm, and extracted a feature vector every 50 ms. At each time window, the proposed pattern discriminator determined whether the measured EMG signals were in the transient state or not In the case of the transient state, candidates of migratable prosthetic hand patterns were constrained by a prior knowledge regarding a transition probability among the hand patterns. Accordingly an appropriate hand pattern can be selected, otherwise an ongoing hand pattern was maintained. Online EMG pattern recognition experiments with the proposed anticipatory pattern recognition method demonstrated a significant improvement compared with the method without the anticipatory mechanism.

本文言語English
論文番号4811394
ページ(範囲)897-902
ページ数6
ジャーナルConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
DOI
出版ステータスPublished - 2008
外部発表はい
イベント2008 IEEE International Conference on Systems, Man and Cybernetics, SMC 2008 - Singapore, Singapore
継続期間: 2008 10月 122008 10月 15

ASJC Scopus subject areas

  • 電子工学および電気工学
  • 制御およびシステム工学
  • 人間とコンピュータの相互作用

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