Title :
The design of golf swing pattern analysis from motion sensors
Author :
Reintrakulchai, Natee ; Kimpan, Warangkhana
Author_Institution :
Dept. of Comput. Sci., King Mongkut´s Inst. of Technol. Ladkrabang, Bangkok, Thailand
fDate :
July 30 2014-Aug. 1 2014
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.
Keywords :
pattern classification; sensors; sport; Razor IMUs; body movement data collection; deviation reduction; golf swing pattern analysis; golf swing pattern data classification; linear equation; lower back muscles; motion sensors; physical therapy; sports; upper back muscles; Acceleration; Classification algorithms; Computer science; Equations; Muscles; Pattern analysis; Sensors; Golf swing; Golf training; Motion sensor; Physical therapy; Razor IMU;
Conference_Titel :
Computer Science and Engineering Conference (ICSEC), 2014 International
Conference_Location :
Khon Kaen
Print_ISBN :
978-1-4799-4965-6
DOI :
10.1109/ICSEC.2014.6978198