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Sport training using body sensor networks: a statistical approach to measure wrist rotation for golf swing
| Content Provider | CiteSeerX |
|---|---|
| Author | Ghasemzadeh, Hassan Loseu, Vitali Guenterberg, Eric Jafari, Roozbeh |
| Description | Athletes in any sports can greatly benefit from feedback sys-tems for improving the quality of their training. In this pa-per, we present a golf swing training system which incorpo-rates wearable motion sensors to obtain inertial information and provide feedback on the quality of movements. The sen-sors are placed on a golf club and athlete’s body at positions which capture the unique movements of a golf swing. We in-troduce a quantitative model which takes into consideration signal processing techniques on the collected data and quan-tifies the correctness of the performed actions. We evaluate the effectiveness of our framework on data obtained from four subjects and discuss ongoing research. In BodyNets ’09: Proceedings of the Fourth International Conference on Body Area Networks, 2009 |
| File Format | |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Quantitative Model Body Sensor Network Consideration Signal Processing Technique Ongoing Research Performed Action Training System Golf Swing Feedback Sys-tems Wrist Rotation Athlete Body Inertial Information Wearable Motion Sensor Unique Movement Golf Club Statistical Approach |
| Content Type | Text |
| Resource Type | Article |
