Abstract
This paper introduces an intelligent system focused on the biomechanical analysis of road bicycle cyclists. This type of analysis is carried out in specialized medical centers that operate using costly resources and are employed, mainly, for studies on athletes of high performance. The proposed system contrasts with these centers in that it provides the rookie cyclist with an accessible and affordable biomechanical analysis, although not as accurate. The architecture of the system rests in the advances in motion capture and augmented reality libraries. In the paper are discussed the motivations of the research, the internal design of the proposed system and the differences with various systems.
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Salguero, C., Mosquera, S.P., Barco, A.F., Vareilles, É. (2018). Low Cost Intelligent System for the 2D Biomechanical Analysis of Road Cyclists. In: Ceci, M., Japkowicz, N., Liu, J., Papadopoulos, G., Raś, Z. (eds) Foundations of Intelligent Systems. ISMIS 2018. Lecture Notes in Computer Science(), vol 11177. Springer, Cham. https://doi.org/10.1007/978-3-030-01851-1_13
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DOI: https://doi.org/10.1007/978-3-030-01851-1_13
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