• 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