• DocumentCode
    179734
  • Title

    The design of golf swing pattern analysis from motion sensors

  • Author

    Reintrakulchai, Natee ; Kimpan, Warangkhana

  • Author_Institution
    Dept. of Comput. Sci., King Mongkut´s Inst. of Technol. Ladkrabang, Bangkok, Thailand
  • fYear
    2014
  • fDate
    July 30 2014-Aug. 1 2014
  • Firstpage
    222
  • Lastpage
    227
  • Abstract
    This paper proposes a new idea of an analysis of golf swing patterns. The body movement data are collected from upper back and lower back muscles using Razor IMUs. The data are then classified in two steps according to the similarity of the changing ratio: the deviation reduction from sensors and the changing ratio at each period of time. The experimental results show the modified data in the form of Linear equation which consists of many straight lines. Each line represents each player´s swing which can be compared to one another or defined the golf swing pattern among golf players and coaches and can also be adapted to the similar golf swing pattern data classification which can help golf trainers or doctors for physical therapy. This proposed method can be applied to use with other sports with certain patterns such as baseball, tennis, and ping pong.
  • Keywords
    pattern classification; sensors; sport; Razor IMUs; body movement data collection; deviation reduction; golf swing pattern analysis; golf swing pattern data classification; linear equation; lower back muscles; motion sensors; physical therapy; sports; upper back muscles; Acceleration; Classification algorithms; Computer science; Equations; Muscles; Pattern analysis; Sensors; Golf swing; Golf training; Motion sensor; Physical therapy; Razor IMU;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Engineering Conference (ICSEC), 2014 International
  • Conference_Location
    Khon Kaen
  • Print_ISBN
    978-1-4799-4965-6
  • Type

    conf

  • DOI
    10.1109/ICSEC.2014.6978198
  • Filename
    6978198