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3rd International ICST Conference on Body Area Networks

Research Article

The Speckled Golfer

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  • @INPROCEEDINGS{10.4108/ICST.BODYNETS2008.2956,
        author={D.K Arvind and Andrew Bates},
        title={The Speckled Golfer},
        proceedings={3rd International ICST Conference on Body Area Networks},
        publisher={ICST},
        proceedings_a={BODYNETS},
        year={2010},
        month={5},
        keywords={Body Sensor Networks Wireless Sensor Networks Wireless Motion Capture Golf Swing Analysis.},
        doi={10.4108/ICST.BODYNETS2008.2956}
    }
    
  • D.K Arvind
    Andrew Bates
    Year: 2010
    The Speckled Golfer
    BODYNETS
    ICST
    DOI: 10.4108/ICST.BODYNETS2008.2956
D.K Arvind1,*, Andrew Bates2,*
  • 1: Research Consortium in Speckled Computing, School of Informatics, University of Edinburgh, Mayfield Road, Edinburgh EH93JZ Scotland, UK. +44 131 650 5176
  • 2: Research Consortium in Speckled Computing, School of Informatics, University of Edinburgh, Mayfield Road, Edinburgh EH93JZ Scotland, UK. +447825 564480
*Contact email: dka@inf.ed.ac.uk, Andrew.bates11@gmail.com

Abstract

This paper describes the application of the first fully wireless network of inertial sensors for full-body 3-D motion capture – the Orient-2 system, to real-time on-body analysis of the golf swing. The golfer-club system is modelled as a double pendulum. The factors which affect the efficiency of the golf swing are outlined, such as the length of the back swing, the wrist-cock angle, swing plane and club-head speed and methods are described for monitoring them using a wireless network of Orient-2 specks. The implementation of the Speckled Golfer System is described and two motion rules are illustrated for executing efficient golf swings.

Keywords
Body Sensor Networks Wireless Sensor Networks Wireless Motion Capture Golf Swing Analysis.
Published
2010-05-16
Publisher
ICST
Modified
2010-05-16
http://dx.doi.org/10.4108/ICST.BODYNETS2008.2956
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