The classification of EMG signals with zero retraining in the influence of user and rotation independence
The surface electromyogram (EMG) contains information directly related to muscle contraction and modern classification techniques can obtain near-zero error when identifying various gestures over the forearm. However, good results come at a compromise over the ease of use. Once the EMG classifier tr...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Penerbit UTHM
2021
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Online Access: | http://eprints.utem.edu.my/id/eprint/25625/2/VIEW%20OF%20THE%20CLASSIFICATION%20OF%20EMG%20SIGNALS%20WITH%20ZERO%20RETRAINING%20IN%20THE%20INFLUENCE%20OF%20USER%20AND%20ROTATION%20INDEPENDENCE.PDF http://eprints.utem.edu.my/id/eprint/25625/ https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/5818/4075 https://doi.org/10.30880/ijie.2021.13.01.011 |
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Institution: | Universiti Teknikal Malaysia Melaka |
Language: | English |
Internet
http://eprints.utem.edu.my/id/eprint/25625/2/VIEW%20OF%20THE%20CLASSIFICATION%20OF%20EMG%20SIGNALS%20WITH%20ZERO%20RETRAINING%20IN%20THE%20INFLUENCE%20OF%20USER%20AND%20ROTATION%20INDEPENDENCE.PDFhttp://eprints.utem.edu.my/id/eprint/25625/
https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/5818/4075
https://doi.org/10.30880/ijie.2021.13.01.011