Comprehensive analysis of an EMG based human-robot interface using various machine learning techniques
Electromyography (EMG) signals hold critical significance in biomedical research, capturing muscle electrical activity during rest and contraction in the upper limb. Their versatility in applications, particularly in human-assisting robotic tools, drives ongoing exploration and research. This pap...
| Publié dans: | Philippine Journal of Science Vol. 152, no. 6B (2023), 2399-2406 |
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| Format: | Article |
| Langue: | English |
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2023
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