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Gait analysis techniques using principle component analysis (PCA)

Tee, Kian Sek and Awad, Mohammed and Dehghani, Abbas and David, Moser and Zehedi, Saeed Gait analysis techniques using principle component analysis (PCA). In: The Talent Management Symposium 2011, 18-20 July 2011, London, UK.

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Abstract

A gait analysis procedure is derived to provide a reliable visual impression of gait performances. Kinematic information of the limb segments and body centre of mass (BCOM) are collected from three healthy subjects using an ambulatory gait monitoring system under several walking restrictions. The method includes multiple stages of gait data processing which eventually eliminates redundant or correlated variables and reduces vector dimensions. Clusters of walking performance under different walking restrictions are clearly separated in 2D and 3D plots of Principle Components (PCs). This method provides potential visual aids in decision making in niany medical applications such as pathological gait analysis and lower limb prosthetic dynamic alignment.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: ambulatory; reliability; correlated; low dimension; PCA
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics
Divisions: Faculty of Electrical and Electronic Engineering > Department of Robotic and Mechatronic Engineering
Depositing User: Normajihan Abd. Rahman
Date Deposited: 05 Apr 2015 08:40
Last Modified: 05 Apr 2015 08:40
URI: http://eprints.uthm.edu.my/id/eprint/5923
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