A Novel sEMG-Based Gait Phase-Kinematics-Coupled Predictor and Its Interaction With Exoskeletons

The interaction between human and exoskeletons increasingly relies on the precise decoding of human motion. One main issue of the current motion decoding algorithms is that seldom algorithms provide both discrete motion patterns (e.g., gait phases) and continuous motion parameters (e.g., kinematics)...

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Bibliographic Details
Published in:	Frontiers in neurorobotics Vol. 15; p. 704226
Main Authors:	Wei, Baichun, Ding, Zhen, Yi, Chunzhi, Guo, Hao, Wang, Zhipeng, Zhu, Jianfei, Jiang, Feng
Format:	Journal Article
Language:	English
Published:	Lausanne Frontiers Research Foundation 10.08.2021 Frontiers Media S.A
Subjects:	Algorithms Deep learning Discriminant analysis Electromyography Exoskeleton Gait gait recognition Human mechanics Kinematics kinematics prediction long short-term memory Machine learning Methods motion decoding algorithm Neuroscience Pattern recognition Periodicity Principal components analysis Prostheses User training
ISSN:	1662-5218, 1662-5218
Online Access:	Get full text
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