Motion Gait Recognition of Lower Limb Exoskeleton Based on Particle Swarm Optimization-Based Extreme Learning Machine Algorithm

Motion Gait Recognition of Lower Limb Exoskeleton Based on Particle Swarm Optimization-Based Extreme Learning Machine Algorithm

A human gait recognition method based on the PSO-ELM algorithm is proposed in order to achieve coordinated movement between humans and lower limb exoskeletons. Ground reaction force (GRF) from the foot, and motion capture data (MCD) from two joints were collected through the exoskeleton device. The...

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Bibliographic Details
Main Authors: Ting Liu, Kai Liu, Wuyi Luo, Jiange Kou, Haoran Zhan, Guangkai Yu, Qing Guo, Yan Shi
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Actuators
Subjects:
cost-effective gait acquisition device
lower limb exoskeleton
gait recognition
machine learning
PSO-ELM algorithm
Online Access:https://www.mdpi.com/2076-0825/14/3/120
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