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

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
Main Authors: Baichun Wei, Zhen Ding, Chunzhi Yi, Hao Guo, Zhipeng Wang, Jianfei Zhu, Feng Jiang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Neurorobotics
Subjects:
electromyography
motion decoding algorithm
kinematics prediction
gait recognition
long short-term memory
Online Access:https://www.frontiersin.org/articles/10.3389/fnbot.2021.704226/full

Internet

https://www.frontiersin.org/articles/10.3389/fnbot.2021.704226/full

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