A Neural Network-Based Gait Phase Classification Method Using Sensors Equipped on Lower Limb Exoskeleton Robots-Reference-Cited by-同舟云学术

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A Neural Network-Based Gait Phase Classification Method Using Sensors Equipped on Lower Limb Exoskeleton Robots

Published:2015-10-30 Issue:11 Volume:15 Page:27738-27759
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Jung Jun-Young,Heo Wonho,Yang Hyundae,Park Hyunsub

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

http://www.mdpi.com/1424-8220/15/11/27738/pdf

Reference35 articles.

1. Gait Analysis: Normal and Pathological Function;Perry,1992

2. Kinesiology of the Musculoskeletal System: Foundations for Physical Rehabilitation;Neumann,2003

3. Functional electrical stimulation for walking in paraplegia;Marsolais;J. Bone Joint Surg. Am.,1987

4. Automatic detection of gait events: a case study using inductive learning techniques

5. Automatic stance-swing phase detection from accelerometer data for peroneal nerve stimulation

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4. AI-based methodologies for exoskeleton-assisted rehabilitation of the lower limb: a review;Frontiers in Robotics and AI;2024-02-09

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