Video based Swimming Analysis for Fast Feedback

Paavo Nevalainen, Antti Kauhanen, Csaba Raduly-Baka, Mikko-Jussi Laakso, Jukka Heikkonen

2016

Abstract

This paper proposes a digital camera based swimming analysis system for athletic use with a low budget. The recreational usage is possible during the analysis phase, and no alterations of the pool environment are needed. The system is of minimum complexity, has a real-time feedback mode, uses only underwater cameras, is flexible and can be installed in many types of public swimming pools. Possibly inaccurate camera placement poses no problem. Both commercially available and tailor made software were utilized for video signal collection and computational analysis and for providing a fast visual feedback for swimmers to improve the athletic performance. The small number of cameras with a narrow overlapping view makes the conventional stereo calibration inaccurate and a direct planar calibration method is proposed in this paper instead. The calibration method is presented and its accuracy is evaluated. The quick feedback is a key issue in improving the athletic performance. We have developed two indicators, which are easy to visualize. The first one is the swimming speed measured from the video signal by tracking a marker band at the waist of the swimmer, another one is the rudimentary swimming cycle analysis focusing to the regularity of the cycle.

Paper Citation

in Harvard Style

Nevalainen P., Kauhanen A., Raduly-Baka C., Laakso M. and Heikkonen J. (2016). Video based Swimming Analysis for Fast Feedback . In Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-173-1, pages 457-466. DOI: 10.5220/0005753704570466

in Bibtex Style

@conference{icpram16,
author={Paavo Nevalainen and Antti Kauhanen and Csaba Raduly-Baka and Mikko-Jussi Laakso and Jukka Heikkonen},
title={Video based Swimming Analysis for Fast Feedback},
booktitle={Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2016},
pages={457-466},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005753704570466},
isbn={978-989-758-173-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Video based Swimming Analysis for Fast Feedback
SN - 978-989-758-173-1
AU - Nevalainen P.
AU - Kauhanen A.
AU - Raduly-Baka C.
AU - Laakso M.
AU - Heikkonen J.
PY - 2016
SP - 457
EP - 466
DO - 10.5220/0005753704570466