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

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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. 2021-02-01
Series:PeerJ Computer Science
Subjects:
EMG
Machine learning
Feature extraction
Movement intention
Classification
Online Access:https://peerj.com/articles/cs-379.pdf

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https://peerj.com/articles/cs-379.pdf

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