The Speckled Golfer

D.K Arvind; Andrew Bates

3rd International ICST Conference on Body Area Networks

Research Article

The Speckled Golfer

Download327 downloads

Cite: BibTeX Plain Text

@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