Study Of EMG Feature Selection For Hand Motions Classification
In recent days, electromyography (EMG) pattern recognition has becoming one of the major interests in rehabilitation area. However, EMG feature set normally consists of relevant, redundant and irrelevant features. To achieve high classification performance, the selection of potential features is c...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti, UTeM
2019
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| Online Access: | http://eprints.utem.edu.my/id/eprint/24153/2/5094-14025-1-PB.PDF http://eprints.utem.edu.my/id/eprint/24153/ https://journal.utem.edu.my/index.php/ijhati/article/view/5094/3659 |
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| Institution: | Universiti Teknikal Malaysia Melaka |
| Language: | English |