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
Link To Document :
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