A Study on Lower Limb Movement Intention Recognition Based on Multi-Source Information Fusion
In order to enhance the suppleness of a lower limb rehabilitation medical robot during the re-habilitation process, this study proposes a multi-source information fusion lower limb motion intention recognition method based on surface electromyographic signals (sEMG) and lower limb joint angles. To s...
Saved in:
Main Authors: | Siyu Zong, Wei Li, Dawen Sun, Xiaojie Wei, Junjie Chen, Zhengwei Yue, Daxue Sun |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10812721/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multi-source data recognition and fusion algorithm based on a two-layer genetic algorithm–back propagation model
by: Zhuang Xiong, et al.
Published: (2025-01-01) -
Feedback Type May Change the EMG Pattern and Kinematics During Robot Supported Upper Limb Reaching Task
by: Yasuhiro Kato, et al.
Published: (2024-01-01) -
Neural Network-Based Lower Limb Prostheses Control Using Super Twisting Sliding Mode Control
by: Adisu Tadese Demora, et al.
Published: (2025-01-01) -
Multi-scale attention patching encoder network: a deployable model for continuous estimation of hand kinematics from surface electromyographic signals
by: Chuang Lin, et al.
Published: (2024-12-01) -
Chinese medical named entity recognition model based on local enhancement
by: CHEN Jing, et al.
Published: (2024-07-01)