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The design of golf swing pattern analysis from motion sensors
Author(s)
Reintrakulchai, Natee
Date Issued
January 1, 2014
Type
Conference Paper
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.
Citation
2014 International Computer Science and Engineering Conference Icsec 2014, 222-227, 2014