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
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;
Conference_Titel :
World Automation Congress (WAC), 2014
Conference_Location :
Waikoloa, HI
DOI :
10.1109/WAC.2014.6935638