Cargando…
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...
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: | |
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 |
Ejemplares similares
-
The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN
por: Rashid, Mamunur, et al.
Publicado: (2021) -
The classification of EEG-based winking signals: a transfer learning and random forest pipeline
por: Mahendra Kumar, Jothi Letchumy, et al.
Publicado: (2021) -
A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework
por: Bari, Bifta Sama, et al.
Publicado: (2021) -
Design of a robust active fuzzy parallel distributed compensation anti-vibration controller for a hand-glove system
por: Rajabpour, Leila, et al.
Publicado: (2021) -
Machine learning in aquaculture: hunger classification of lates calcarifer
por: Mohd Razman, Mohd Azraai, et al.
Publicado: (2020)