Sport training using body sensor networks: A statistical approach to measure wrist rotation for golf swing

Hassan Ghasemzadeh, Vitali Loseu, Eric Guenterberg, Roozbeh Jafari

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationBODYNETS 2009 - 4th International ICST Conference on Body Area Networks
EditorsWilliam Kaiser, Chenyang Lu
PublisherICST
ISBN (Electronic)9789639799417
DOIs
StatePublished - Nov 29 2011
Externally publishedYes
Event4th International ICST Conference on Body Area Networks, BODYNETS 2009 - Los Angeles, United States
Duration: Apr 1 2009Apr 3 2009

Publication series

NameBODYNETS 2009 - 4th International ICST Conference on Body Area Networks

Other

Other4th International ICST Conference on Body Area Networks, BODYNETS 2009
Country/TerritoryUnited States
CityLos Angeles
Period4/1/094/3/09

Keywords

  • Body Sensor Networks
  • Golf Swing
  • Quantitative Analysis
  • Sport Training

ASJC Scopus subject areas

  • Computer Science Applications
  • Artificial Intelligence
  • Computer Networks and Communications

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