Self-Organizing Maps for the Analysis of Complex Movement Patterns

Authors:
H. U. Bauer;W. Schö/llhorn
Affiliations:
Max-Planck-Institut fü/r Strö/mungsforschung, Postfach 28 53, 37018 Gö/ttingen, Germany and SFB 185 ’/Nichtllineare Dynamik‘/, JWG-Universitä/t Frankfurt, Germany/;Institut fü/r Biomechanik, JWG-Universitä/t Frankfurt, Germany
Venue:
Neural Processing Letters
Year:
1997

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Abstract

We apply the Self-Organizing-Map-algorithm (SOM) as a central processing step in a new scheme for the characterisation of movement patterns of athletes. Due to its non-linear dimension reduction capabilities, the SOM outperforms a direct processing of the data as well as preprocessing using principal component analysis. Our results open the way to an objective assessment of movement patterns, with possible applications in the sport sciences as well as in medicine.