Early Prediction of Lower Limb Prostheses Locomotion Mode Transition Based on Terrain Recognition-Reference-Cited by-同舟云学术

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Early Prediction of Lower Limb Prostheses Locomotion Mode Transition Based on Terrain Recognition

Published:2023-11-15 Issue:22 Volume:23 Page:27941-27948
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Luo Shengli¹^ORCID,Shu Xiaolong¹^ORCID,Zhu Hexiang¹,Yu Hongliu²^ORCID

Affiliation:

1. School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China

2. Shanghai Engineering Research Center of Assistive Devices, School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10316685/10272292.pdf?arnumber=10272292

Reference28 articles.

1. User-Independent Intent Recognition for Lower Limb Prostheses Using Depth Sensing

2. Evaluation of the Lower Limb Muscles’ Electromyographic Activity during the Leg Press Exercise and Its Variants: A Systematic Review

3. Turn Intent Detection For Control of a Lower Limb Prosthesis

4. Locomotion Prediction for Lower Limb Prostheses in Complex Environments via sEMG and Inertial Sensors

5. Estimation of CoM and CoP Trajectories During Human Walking Based on a Wearable Visual Odometry Device

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