The classification of movement intention through machine learning models: the identification of significant time-domain EMG features

Electromyography (EMG) signal is one of the extensively utilised biological signals for predicting human motor intention, which is an essential element in human-robot collaboration platforms. Studies on motion intention prediction from EMG signals have often been concentrated on either classificatio...

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Detalles Bibliográficos
Autores principales: Mohd Khairuddin, Ismail, Sidek, Shahrul Naim, P.P. Abdul Majeed, Anwar, Mohd Razman, Mohd Azraai, Ahmad Puzi, Asmarani, Md Yusof, Hazlina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Human-Computer Interaction
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7959624/
https://www.ncbi.nlm.nih.gov/pubmed/33817026
http://dx.doi.org/10.7717/peerj-cs.379

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7959624/
https://www.ncbi.nlm.nih.gov/pubmed/33817026
http://dx.doi.org/10.7717/peerj-cs.379

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