Title
Identifying patterns in trunk/head/elbow changes of riders and non-riders: A cluster analysis approach
Abstract
Correct rider oscillation and position are the basics for a good horseback riding performance. In this paper, we propose a framework for the automatic analysis of athletes behaviour based on cluster analysis. Two groups of athletes (riders vs non-riders) were assigned to a horseback riding simulator exercise. The participants exercised four different incremental horse oscillation frequencies. This paper studies the postural coordination, by computing the different discrete relative phases of head-horse, elbow-horse and trunk-horse oscillations. Two clustering algorithms are then applied to automatically identify the change of rider and non-rider behaviour in terms of postural coordination. The results showed that the postural coordination was influenced by the level of rider expertise. More diverse behaviour was observed for non-riders. At the opposite, riders produced lower postural displacements and deployed more efficient postural control. The postural coordination for both groups was also influenced by the oscillation frequencies.
Year
DOI
Venue
2022
10.1016/j.compbiomed.2021.105193
COMPUTERS IN BIOLOGY AND MEDICINE
Keywords
DocType
Volume
Cluster analysis, Discrete relative phase, Mechanical horse, Postural coordination, Sport
Journal
143
ISSN
Citations 
PageRank 
0010-4825
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Imen Trabelsi100.34
Romain Hérault200.34
Héloise Baillet300.34
Régis Thouvarecq400.34
Ludovic Seifert501.35
Gilles Gasso600.34