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Authors: Paavo Nevalainen 1 ; Antti Kauhanen 2 ; Csaba Raduly-Baka 1 ; Mikko-Jussi Laakso 1 and Jukka Heikkonen 1

Affiliations: 1 University of Turku, Finland ; 2 Sport Academy of Turku Region, Finland

Keyword(s): Athletics, Swimming, Motion Tracking, Camera Calibration, Signal Smoothing, Movement Cycle Registration.

Related Ontology Subjects/Areas/Topics: Applications ; Cardiovascular Imaging and Cardiography ; Cardiovascular Technologies ; Computer Vision, Visualization and Computer Graphics ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Image and Video Analysis ; Methodologies and Methods ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Physiological Computing Systems ; Signal Processing ; Software Engineering ; Video Analysis

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 deve loped 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. (More)

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Paper citation in several formats:
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 - ICPRAM, ISBN 978-989-758-173-1; ISSN 2184-4313, pages 457-466. DOI: 10.5220/0005753704570466

@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 - ICPRAM,},
year={2016},
pages={457-466},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005753704570466},
isbn={978-989-758-173-1},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - ICPRAM,
TI - Video based Swimming Analysis for Fast Feedback
SN - 978-989-758-173-1
IS - 2184-4313
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

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