A review of analytical techniques for gait data. Part 1: fuzzy, statistical and fractal methods

In recent years, several new approaches to gait data analysis have been explored, including fuzzy systems, multivariate statistical techniques and fractal dynamics. Through a critical survey of recent gait studies, this paper reviews the potential of these methods to strengthen the gait laboratory&#...

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Bibliographic Details
Published in:Gait & Posture 2001-02, Vol.13 (1), p.49-66
Main Author: Chau, Tom
Format: Article
Language:English
Subjects:
Automatic data processing
Electromyography
Factor Analysis, Statistical
Fractals
Fuzzy clustering
Fuzzy Logic
Gait
Gait analysis
Humans
Multivariate Analysis
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Summary:In recent years, several new approaches to gait data analysis have been explored, including fuzzy systems, multivariate statistical techniques and fractal dynamics. Through a critical survey of recent gait studies, this paper reviews the potential of these methods to strengthen the gait laboratory's analytical arsenal. It is found that time-honoured multivariate statistical methods are the most widely applied and understood. Although initially promising, fuzzy and fractal analyses of gait data remain largely unknown and their full potential is yet to be realized. The trend towards fusing multiple techniques in a given analysis means that additional research into the application of these two methods will benefit gait data analysis.
ISSN:0966-6362
1879-2219
DOI:10.1016/S0966-6362(00)00094-1