• DocumentCode
    2620184
  • Title

    Exploring analysis of football actions considering correlation of joints in the body

  • Author

    Kato, Keisuke ; Namiki, Yutaka ; Thepvilojanapong, Niwat ; Tetsutani, Nobuji ; Ohta, Yoshikatsu

  • Author_Institution
    Sch. of Sci. & Technol. for Future Life, Tokyo Denki Univ., Tokyo, Japan
  • fYear
    2012
  • fDate
    11-14 June 2012
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    When beginners learn football skills, they need relevant guidance by a coach. However, it is difficult for them to find a good coach. When the beginners practice repeatedly to master the skills by themselves, they often do it in wrong and inefficient manners. In addition, it takes variation in time for each beginner to acquire embodied knowledge of football skill. In this paper, we analyze a football player´s action by using motion capture so as to quantify the difference between experts and beginners. Based on correlation of joints in the body, we present a method to analyze football skills by using a cross-correlation function.
  • Keywords
    correlation theory; knowledge acquisition; motion estimation; sport; coach guidance; cross-correlation function; embodied knowledge acquisition; exploring analysis; football player action analysis; football skills learning; joint correlation; motion capture; Embodied knowledge; Kinect; cross-correlation; football actions; juggling skill; motion capture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networked Sensing Systems (INSS), 2012 Ninth International Conference on
  • Conference_Location
    Antwerp
  • Print_ISBN
    978-1-4673-1784-9
  • Electronic_ISBN
    978-1-4673-1785-6
  • Type

    conf

  • DOI
    10.1109/INSS.2012.6240563
  • Filename
    6240563