Using a self-organizing map to identify group-specific movement patterns during running

The purposes of this study were (a) to use a self-organizing map to identify groups of people with a similar movement pattern, (b) to associate these groups with characteristics related to age and gender, and (c) to investigate whether these groups require specific footwear features to improve comfort. The movement patterns of 88 subjects during 5 running trials were collected. A self-organizing map was used to identify groups with group-specific movement patterns. The identified groups had specific footwear requirements with respect to comfort, which was only partially explained by the age characteristics of these groups. This study demonstrated how groups of people with specific needs regarding footwear comfort can be identified by their movement pattern.
© Copyright 2013 ISBS - Conference Proceedings Archive (Konstanz). Springer. Published by International Society of Biomechanics in Sports. All rights reserved.

Bibliographic Details
Subjects:
Notations:training science technical and natural sciences
Tagging:Bewegungsmuster
Published in:ISBS - Conference Proceedings Archive (Konstanz)
Language:English
Published: Taipei International Society of Biomechanics in Sports 2013
Online Access:https://ojs.ub.uni-konstanz.de/cpa/article/view/5534
Volume:31
Issue:1
Document types:congress proceedings
Level:advanced