The design of golf swing pattern analysis from motion sensors

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.

[1]  Eric S. Wallace,et al.  Professional golf coaches' perceptions of the key technical parameters in the golf swing , 2012 .

[2]  Yosuke Kurihara,et al.  Measurement and analysis of golf swing using 3D acceleration and gyroscopic sensors , 2011, SICE Annual Conference 2011.

[3]  K. Watanabe,et al.  Measurement and analysis of golf swing using 3-D acceleration and gyro sensor , 2012, 2012 Proceedings of SICE Annual Conference (SICE).

[4]  Ho Sub Yoon,et al.  Analysis of the Golf Swing from Weight-Shift using Neural Networks , 1994 .

[5]  Ho Sub Yoon,et al.  Neural networks for golf swing analysis from weight-shift , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

[7]  Yen-Chu Hung,et al.  Using real-time acceleration data for exercise movement training with a decision tree approach , 2009, ICMLC 2009.

[8]  Yao Liu,et al.  Simplified Swarm Optimization with Sorted Local Search for golf data classification , 2012, 2012 IEEE Congress on Evolutionary Computation.

[9]  Young Soo Suh,et al.  3D dynamics analysis of a golf full swing by fusing inertial sensor and vision data , 2013, 2013 13th International Conference on Control, Automation and Systems (ICCAS 2013).

[10]  Tao Liu,et al.  A novel wireless motion sensor for analyzing golf swing , 2013, 2013 IEEE SENSORS.

[11]  J. Bendo,et al.  The lumbar spine and low back pain in golf: a literature review of swing biomechanics and injury prevention. , 2008, The spine journal : official journal of the North American Spine Society.

[12]  Hee-Jun Kang,et al.  Golf Swing Motion Tracking Using Inertial Sensors and a Stereo Camera , 2014, IEEE Transactions on Instrumentation and Measurement.