DocumentCode
133684
Title
Development of SOM algorithm for relationship between roles and individual´s role adaptation in rugby
Author
Takemura, Yasunori ; Yokoyama, Muneyuki ; Omori, Sho ; Shimosak, Ryo
Author_Institution
Dept. of Mech. & Electr. Eng., Nippon Bunri Univ., Oita, Japan
fYear
2014
fDate
3-7 Aug. 2014
Firstpage
1
Lastpage
6
Abstract
Victory or defeat in team sports depends on each player´s technique, physical strength, and psychological condition. It follows that team performance depends on the player´s adaptation to (suitability for) a certain role (position in the team) and the relationships between different roles. We assume that team performance is related to physical and psychological features. Many researchers have proposed that physical features determine a player´s suitability for a position. Psychological features have also been researched as factors of position adaptation. However, each feature has been investigated independently. The present research aims to develop a clustering method that considers both physical and psychological features in judging an individual´s role and adaptation in the game. This paper reports the concept of the algorithm and result of psychological data analysis using self-organizing maps and principal component analysis.
Keywords
pattern clustering; principal component analysis; psychology; self-organising feature maps; sport; SOM algorithm development; clustering method; game defeat; game victory; individual role adaptation; player physical strength; player psychological condition; player role adaptation; player suitability; player technique; principal component analysis; psychological data analysis; rugby; self-organizing maps; team performance; team position adaptation; team sports; Eigenvalues and eigenfunctions; Games; Psychology; clustering; data mining; principal component analysis; self-organizing map;
fLanguage
English
Publisher
ieee
Conference_Titel
World Automation Congress (WAC), 2014
Conference_Location
Waikoloa, HI
Type
conf
DOI
10.1109/WAC.2014.6935638
Filename
6935638
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