Research Article
Sport training using body sensor networks: a statistical approach to measure wrist rotation for golf swing
@INPROCEEDINGS{10.4108/ICST.BODYNETS2009.6035, author={Hassan Ghasemzadeh and Vitali Loseu and Eric Guenterberg and Roozbeh Jafari}, title={Sport training using body sensor networks: a statistical approach to measure wrist rotation for golf swing}, proceedings={4th International ICST Conference on Body Area Networks}, publisher={ICST}, proceedings_a={BODYNETS}, year={2011}, month={12}, keywords={Sport Training Body Sensor Networks Quantitative Analysis Golf Swing}, doi={10.4108/ICST.BODYNETS2009.6035} }
- Hassan Ghasemzadeh
Vitali Loseu
Eric Guenterberg
Roozbeh Jafari
Year: 2011
Sport training using body sensor networks: a statistical approach to measure wrist rotation for golf swing
BODYNETS
ICST
DOI: 10.4108/ICST.BODYNETS2009.6035
Abstract
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.
Copyright © 2009–2024 ICST