3rd International ICST Conference on Body Area Networks

Research Article

The Speckled Golfer

Download327 downloads
  • @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.