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Human Geometries as Key Starting Point in Sports Performance - Designing Equipment for Individual Performance in Paralympic Sit-Ski

Published online by Cambridge University Press:  26 May 2022

O. S. Nesheim*
Affiliation:
Norwegian University of Science and Technology, Norway
D. H. Bentengen
Affiliation:
Norwegian University of Science and Technology, Norway
S. W. Eikevåg
Affiliation:
Norwegian University of Science and Technology, Norway
M. Steinert
Affiliation:
Norwegian University of Science and Technology, Norway

Abstract

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This article investigates human geometry in design, allowing exploration of unknown geometries in Paralympic sports equipment. By creating a configuration map exploring the solution-space, optimal sit-ski seating positions–in the sense of performance and ergonomics–can efficiently be found for individual athletes. A physical prototype was developed, and an experiment was designed to identify changes in performance due to different geometries. The design method and application make it possible to translate critical angles onto geometries, and test individuals for optimal work ergonomics.

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2022.

References

Arts, F.J. and Kuipers, H. (1994) ‘The relation between power output, oxygen uptake and heart rate in male athletes’, International Journal of Sports Medicine, 15(5), pp. 228231. https://dx.doi.org/10.1055/s-2007-1021051.CrossRefGoogle ScholarPubMed
Baek, S., Ha, Y. and Park, H. (2021) ‘Accuracy of Wearable Devices for Measuring Heart Rate During Conventional and Nordic Walking’, PM&R, 13(4), pp. 379386. https://dx.doi.org/10.1002/pmrj.12424.Google ScholarPubMed
Burt, P. (2014) Bike Fit: Optimise Your Bike Position for High Performance and Injury Avoidance. A&C Black.Google Scholar
Castaneda, D. et al. . (2018) ‘A review on wearable photoplethysmography sensors and their potential future applications in health care’, International journal of biosensors & bioelectronics, 4(4), pp. 195202. https://dx.doi.org/10.15406/ijbsbe.2018.04.00125.Google ScholarPubMed
Eikevåg, S.W. et al. . (2020) ‘Designing an Experiment for Evaluating Seating Positions in Paralympic Rowing’, Proceedings of the Design Society: DESIGN Conference, 1, pp. 24852494. https://dx.doi.org/10.1017/dsd.2020.101.Google Scholar
Etiwy, M. et al. . (2019) ‘Accuracy of wearable heart rate monitors in cardiac rehabilitation’, Cardiovascular Diagnosis and Therapy, 9(3), pp. 262271. https://dx.doi.org/10.21037/cdt.2019.04.08.CrossRefGoogle ScholarPubMed
Freitas de Salles, B., et al. (2009) ‘Rest Interval between Sets in Strength Training’:, Sports Medicine, 39(9), pp. 765777. https://dx.doi.org/10.2165/11315230-000000000-00000.CrossRefGoogle Scholar
Ge, Z. et al. . (2016) ‘Evaluating the accuracy of wearable heart rate monitors’, in 2016 2nd International Conference on Advances in Computing, Communication, Automation (ICACCA) (Fall). 2016 2nd International Conference on Advances in Computing, Communication, Automation (ICACCA) (Fall), pp. 16. https://dx.doi.org/10.1109/ICACCAF.2016.7748986.Google Scholar
Gilgen-Ammann, R. et al. . (2021) ‘Validation of ambulatory monitoring devices to measure energy expenditure and heart rate in a military setting’, 42(8), p. 085008. https://dx.doi.org/10.1088/1361-6579/ac19f9.Google Scholar
Gillinov, S. et al. . (2017) ‘Variable Accuracy of Wearable Heart Rate Monitors during Aerobic Exercise’, Medicine & Science in Sports & Exercise, 49, p. 1. https://dx.doi.org/10.1249/MSS.0000000000001284.Google ScholarPubMed
Hofmann-Wellenhof, B., Lichtenegger, H. and Wasle, E. (2007) GNSS – Global Navigation Satellite Systems: GPS, GLONASS, Galileo, and more. Springer Science & Business Media.Google Scholar
Iriberri, J., Muriel, X. and Larrazabal, I. (2008) ‘The bike fit of the road professional cyclist related to anthropometric measurements and the torque of de crank’, p. 6.Google Scholar
Jacobs, I. (1986) ‘Blood Lactate’, Sports Medicine, 3(1), pp. 1025. https://dx.doi.org/10.2165/00007256-198603010-00003.CrossRefGoogle ScholarPubMed
Jensen, M.B., Elverum, C.W. and Steinert, M. (2017) ‘Eliciting unknown unknowns with prototypes: Introducing prototrials and prototrial-driven cultures’, Design Studies, 49, pp. 131. https://dx.doi.org/10.1016/j.destud.2016.12.002.CrossRefGoogle Scholar
Johansson, R.E. et al. . (2020) ‘Accuracy of GPS sport watches in measuring distance in an ultramarathon running race’, International Journal of Sports Science & Coaching, 15(2), pp. 212219. https://dx.doi.org/10.1177/1747954119899880.CrossRefGoogle Scholar
Lucía, A. et al. . (2000) ‘Heart rate and performance parameters in elite cyclists: a longitudinal study’, Medicine and Science in Sports and Exercise, 32(10), pp. 17771782. https://dx.doi.org/10.1097/00005768-200010000-00018.Google ScholarPubMed
Mâsse, L.C., Lamontagne, M. and O'Riain, M.D. (1992) ‘Biomechanical analysis of wheelchair propulsion for various seating positions’, Journal of rehabilitation research and development, 29(3), pp. 1228. https://dx.doi.org/10.1682/jrrd.1992.07.0012.CrossRefGoogle ScholarPubMed
Nordic Skiing - Rules and Documents (2021) International Paralympic Committee. Available at: https://www.paralympic.org/sites/default/files/2021-10/2021_09_30%20WPNS_Rules%20and%20Regulations_2021-22_0.pdf (Accessed: 15 November 2021).Google Scholar
Rapp, W. et al. . (2016) ‘Role of muscle activation in the sit-skiing performance and classification process’, in, pp. 165172.Google Scholar
Severin, A.C. et al. . (2021) ‘Case Report: Adjusting Seat and Backrest Angle Improves Performance in an Elite Paralympic Rower’, Frontiers in Sports and Active Living, 3, p. 15. https://dx.doi.org/10.3389/fspor.2021.625656.CrossRefGoogle Scholar
Shan, G.B. (2008) ‘Sport Equipment Evaluation and Optimization – A Review of the Relationship between Sport Science Research and Engineering’, The Open Sports Sciences Journal, 1(1). https://dx.doi.org/10.2174/1875399X00801010005.CrossRefGoogle Scholar
Silseth, H. et al. . (2021) ‘Design of Experiment for Sports Equipment - Experimentally Mapping the Design Space for Paralympic Alpine Outriggers’, Proceedings of the Design Society, 1, pp. 10731082. https://dx.doi.org/10.1017/pds.2021.107.CrossRefGoogle Scholar
Sletten, H. et al. . (2021) ‘Force Orientation Measurement: Evaluating Ski Sport Dynamics’, IEEE Sensors Journal, PP, pp. 11. https://dx.doi.org/10.1109/JSEN.2021.3124021.Google Scholar
Steinert, M. and Leifer, L. (2012) ‘“Finding One's Way”: Re-Discovering a Hunter-Gatherer Model based on Wayfaring’, International Journal of Engineering Education, 28, pp. 251252.Google Scholar
Szot, T. et al. . (2021) ‘Comparative analysis of positioning accuracy of Garmin Forerunner wearable GNSS receivers in dynamic testing’, Measurement, 183, p. 109846. https://dx.doi.org/10.1016/j.measurement.2021.109846.CrossRefGoogle Scholar
Wilkinson, C.R. and De Angeli, A. (2014) ‘Applying user centred and participatory design approaches to commercial product development’, Design Studies, 35(6), pp. 614631. https://dx.doi.org/10.1016/j.destud.2014.06.001.Google Scholar
Zhang, Y. et al. (2014) ‘WAAS, GLONASS, and GPS Accuracy’, p. 2.Google Scholar