Video markers tracking methods for bike fitting

Piotr Rajkiewicz; Katarzyna Łepkowska; Szymon Cygan

doi:10.1117/12.2199378

11 September 2015 Video markers tracking methods for bike fitting

Piotr Rajkiewicz, Katarzyna Łepkowska, Szymon Cygan

Proceedings Volume 9662, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2015; 96621G (2015) https://doi.org/10.1117/12.2199378
Event: XXXVI Symposium on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (Wilga 2015), 2015, Wilga, Poland

Abstract

Sports cycling is becoming increasingly popular over last years. Obtaining and maintaining a proper position on the bike has been shown to be crucial for performance, comfort and injury avoidance. Various techniques of bike fitting are available - from rough settings based on body dimensions to professional services making use of sophisticated equipment and expert knowledge. Modern fitting techniques use mainly joint angles as a criterion of proper position. In this work we examine performance of two proposed methods for dynamic cyclist position assessment based on video data recorded during stationary cycling. Proposed methods are intended for home use, to help amateur cyclist improve their position on the bike, and therefore no professional equipment is used. As a result of data processing, ranges of angles in selected joints are provided. Finally strengths and weaknesses of both proposed methods are discussed.

Citation Download Citation

Piotr Rajkiewicz, Katarzyna Łepkowska, and Szymon Cygan "Video markers tracking methods for bike fitting", Proc. SPIE 9662, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2015, 96621G (11 September 2015); https://doi.org/10.1117/12.2199378

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KEYWORDS

Video

RGB color model

Skin

Light sources and illumination

Injuries

Algorithm development

Detection and tracking algorithms

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