Bicycling Phase Recognition for Lower Limb Amputees Using Support Vector Machine Optimized by Particle Swarm Optimization

Bicycling Phase Recognition for Lower Limb Amputees Using Support Vector Machine Optimized by Particle Swarm Optimization

A novel method for recognizing the phases in bicycling of lower limb amputees using support vector machine (SVM) optimized by particle swarm optimization (PSO) is proposed in this paper. The method is essential for enhanced prosthetic knee joint control for lower limb amputees in carrying out bicycl...

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Bibliographic Details
Main Authors: Xinxin Li, Zuojun Liu, Xinzhi Gao, Jie Zhang
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Sensors
Subjects:
lower-limb prosthesis
bicycling
phase recognition
particle swarm optimization (PSO)
support vector machine (SVM)
Online Access:https://www.mdpi.com/1424-8220/20/22/6533

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