iGolf : A BSN-based and Cloud-Assisted Golf Swing Training System

• Main Authors: Huang, Yi-Chen, 黃怡箴
• Other Authors: Yi, Chih-Wei
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/24995155818225857096

碩士 === 國立交通大學 === 網路工程研究所 === 102 === 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, we build a BSN-based environment and there are IMUs composed of an accelerometer, a magnetometer and a gyroscope used and attached on the human body like wrist and waist, and also installed on the golf club to collect inertial motion data. We give the algorithm as cloud services to processing the collected data thus that swing trajectories can be calculated and more swing features can also be extracted to assist learning process of golfers.