TY - JOUR
T1 - Wearable coach for sport training
T2 - A quantitative model to evaluate wrist-rotation in golf
AU - Ghasemzadeh, Hassan
AU - Loseu, Vitali
AU - Jafari, Roozbeh
PY - 2009
Y1 - 2009
N2 - Athletes in any sports can greatly benefit from feedback systems for improving the quality of their training. In this paper, we present a golf swing training system which incorporates wearable motion sensors to obtain inertial information and provide feedback on the quality of movements. The sensors are placed on a golf club and athlete's body at positions which capture the unique movements of a golf swing. We introduce a quantitative model which takes into consideration signal processing techniques on the collected data and quantifies the correctness of the performed actions. We evaluate the effectiveness of our framework on data obtained from four subjects and discuss ongoing research.
AB - Athletes in any sports can greatly benefit from feedback systems for improving the quality of their training. In this paper, we present a golf swing training system which incorporates wearable motion sensors to obtain inertial information and provide feedback on the quality of movements. The sensors are placed on a golf club and athlete's body at positions which capture the unique movements of a golf swing. We introduce a quantitative model which takes into consideration signal processing techniques on the collected data and quantifies the correctness of the performed actions. We evaluate the effectiveness of our framework on data obtained from four subjects and discuss ongoing research.
KW - Body sensor networks
KW - Golf swing
KW - Quantitative analysis
KW - Sport training
UR - http://www.scopus.com/inward/record.url?scp=77952388530&partnerID=8YFLogxK
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U2 - 10.3233/AIS-2009-0021
DO - 10.3233/AIS-2009-0021
M3 - Article
AN - SCOPUS:77952388530
SN - 1876-1364
VL - 1
SP - 173
EP - 184
JO - Journal of Ambient Intelligence and Smart Environments
JF - Journal of Ambient Intelligence and Smart Environments
IS - 2
ER -