Estimation of human finger movement using running spectrum of electromyogram
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- KATO Koichi
- System and Information Engineering, University of Tsukuba
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- HOSHINO Kiyoshi
- System and Information Engineering, University of Tsukuba
Bibliographic Information
- Other Title
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- 筋電信号の短時間スペクトルを用いたヒト2指動作の推定(視聴覚技術,ヒューマンインタフェース)
- 筋電信号の短時間スペクトルを用いたヒト2指動作の推定
- キン デンシンゴウ ノ タンジカン スペクトル オ モチイタ ヒト 2 シ ドウサ ノ スイテイ
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Abstract
EMG signals represent muscle tension very well. Conventionally, there are studies that were going to make human machine interface by estimating finger movement in EMG.. However, their studies can't estimate the movement of two fingers using the same muscle separately. Because they didn't consider extracting a characteristic expressing movement of every finger for input signal. Therefore I tried to separating two fingers movement by estimating the MP joint angle of two fingers by the multiple regression analysis that used spectrogram.
Journal
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- ITE Technical Report
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ITE Technical Report 34.11 (0), 59-62, 2010
The Institute of Image Information and Television Engineers
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Details 詳細情報について
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- CRID
- 1390001204526449408
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- NII Article ID
- 110007621904
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- NII Book ID
- AN1059086X
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- ISSN
- 24241970
- 13426893
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- NDL BIB ID
- 10644333
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed