Abstract
Human factors of cycling jerseys allow supporting the performance of cyclists in terms of aerodynamics, biomechanics and physical comfort. Within this research, it is aimed to evaluate three contactless methods for predicting body measurements that allows selecting the size of a cycling jersey. The accuracy of 2D images, 3D markers and a 3D scan technique are compared to hand measurements. With respect to shoulder width, RSME is 2.8 cm for 2D images, 15.1 cm for markers and 8.5 cm for the full body scanner. The results suggest that 2D images may be a useful, low-cost and accurate method for predicting body size measurements of cycling clothing. A careful selection of body sizes or a combination thereof, can aid to enhance the accuracy of a contactless body size prediction for selecting the appropriate cycling jersey size.
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References
Lukes, R.A., Chin, S.B., Haake, S.J.: The understanding and development of cycling aerodynamics. Sport Eng. 8, 59–74 (2005). https://doi.org/10.1007/BF02844004
Weiss, A., Hirshberg, D., Black, M.J.: Home 3D body scans from noisy image and range data. In: Proceedings of IEEE International Conference on Computer Vision 1951–1958 (2011). https://doi.org/10.1109/iccv.2011.6126465
Chow, J.C.K., Ang, K.D., Lichti, D.D., Teskey, W.F.: Performance analysis of a low-cost triangulation-based 3D camera: Microsoft Kinect System. ISPRS - Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. XXXIX-B5, 175–180 (2012). https://doi.org/10.5194/isprsarchives-xxxix-b5-175-2012
Plantard, P., Shum, H.P.H., Le Pierres, A.S., Multon, F.: Validation of an ergonomic assessment method using Kinect data in real workplace conditions. Appl. Ergon. 65, 562–569 (2016). https://doi.org/10.1016/j.apergo.2016.10.015
Khoshelham, K.: Accuracy analysis of kinect depth data. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. XXXVIII-5, 133–138 (2012). https://doi.org/10.5194/isprsarchives-xxxviii-5-w12-133-2011
Bourgeois, B., Ng, B.K., Latimer, D., Stannard, C.R., Romeo, L., Li, X., Shepherd, J.A., Heymsfield, S.B.: Clinically applicable optical imaging technology for body size and shape analysis: comparison of systems differing in design. Eur. J. Clin. Nutr. 71, 1329–1335 (2017). https://doi.org/10.1038/ejcn.2017.142
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Peeters, T., Vleugels, J., De Bruyne, G. (2019). Custom Made Cycling Jerseys Prediction Based on Kinect Analysis for Improved Performance. In: Goonetilleke, R., Karwowski, W. (eds) Advances in Physical Ergonomics & Human Factors. AHFE 2018. Advances in Intelligent Systems and Computing, vol 789. Springer, Cham. https://doi.org/10.1007/978-3-319-94484-5_27
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DOI: https://doi.org/10.1007/978-3-319-94484-5_27
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