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...

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Bibliografiska uppgifter
I publikationen:Philippine Journal of Science Vol. 152, no. 6B (2023), 2399-2406
Huvudupphovsman: Prakash, Varum
Övriga upphovsmän: Kirubakaran, G.
Materialtyp: Artikel
Språk:English
Publicerad: 2023
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