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

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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Bibliographic Details
Main Authors: Ismail, Mohd Khairuddin, Shahrul Naim, Sidek, Anwar, P. P. Abdul Majeed, Mohd Azraai, Mohd Razman, Asmarani, Ahmad Puzi, Hazlina, Md Yusof
Format: Article
Language:English
Published: Peerj Inc. 2021
Subjects:
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
Online Access:http://umpir.ump.edu.my/id/eprint/32419/
http://umpir.ump.edu.my/id/eprint/32419/1/The%20classification%20of%20movement%20intention%20through%20machine%20learning%20models.pdf

Internet

http://umpir.ump.edu.my/id/eprint/32419/
http://umpir.ump.edu.my/id/eprint/32419/1/The%20classification%20of%20movement%20intention%20through%20machine%20learning%20models.pdf

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