• DocumentCode
    1919085
  • Title

    Calculate Golf Swing Trajectories from IMU Sensing Data

  • Author

    Huang, Yi-Chen ; Chen, Tsung-Long ; Chiu, Bo-Chun ; Yi, Chih-Wei ; Chung-Wei Lin ; Yu-Jung Yeh ; Kuo, Lun-Chia

  • Author_Institution
    Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • fYear
    2012
  • fDate
    10-13 Sept. 2012
  • Firstpage
    505
  • Lastpage
    513
  • Abstract
    In the process of sport learning, learners spend a lot of time on practicing in order to develop correct action habit. Take golf practice as an example. Without the supervising of coaches, novices may keep practicing wrong swing actions, and that will cost more time later on to correct the wrong habit. It would be helpful to let learners can be aware of incorrect swing actions in self-training. In this work, we propose an IMU-based solution to help learners by allowing them to review their swing trajectories and also learn key features of the swings. In the proposed system, an IMU composed of an accelerometer, a magnetometer and a gyroscope is installed on the golf club to collect inertial motion data. From the collected data, swing trajectories can be calculated and swing features can also be extracted.
  • Keywords
    gyroscopes; learning (artificial intelligence); magnetometers; sport; training; IMU sensing data; golf practice; golf swing trajectories; gyroscope; magnetometer; sport learning; training; Calibration; Gyroscopes; Magnetometers; Mathematical model; Sports equipment; Trajectory; Vectors; Euler angle; Golf swing; IMU; coordinate transformation; sport training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing Workshops (ICPPW), 2012 41st International Conference on
  • Conference_Location
    Pittsburgh, PA
  • ISSN
    1530-2016
  • Print_ISBN
    978-1-4673-2509-7
  • Type

    conf

  • DOI
    10.1109/ICPPW.2012.69
  • Filename
    6337519