{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T19:41:33Z","timestamp":1770579693582,"version":"3.49.0"},"reference-count":20,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2024,9,19]],"date-time":"2024-09-19T00:00:00Z","timestamp":1726704000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Faculty of Sports and Health Science, Doshisha University"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>A comprehensive analysis of cross-country skiing races is a pivotal step in establishing effective training objectives and tactical strategies. This study aimed to develop a method of classifying sub-techniques and analyzing skiing characteristics during cross-country skiing skating style timed races on snow using high-precision kinematic GNSS devices. The study involved attaching GNSS devices to the heads of two athletes during skating style timed races on cross-country ski courses. These devices provided precise positional data and recorded vertical and horizontal head movements and velocity over ground (VOG). Based on these data, sub-techniques were classified by defining waveform patterns for G2, G3, G4, and G6P (G6 with poling action). The validity of the classification was verified by comparing the GNSS data with video analysis, a process that yielded classification accuracies ranging from 95.0% to 98.8% for G2, G3, G4, and G6P. Notably, G4 emerged as the fastest technique, with sub-technique selection varying among skiers and being influenced by skiing velocity and course inclination. The study\u2019s findings have practical implications for athletes and coaches as they demonstrate that high-precision kinematic GNSS devices can accurately classify sub-techniques and detect skiing characteristics during skating style cross-country skiing races, thereby providing valuable insights for training and strategy development.<\/jats:p>","DOI":"10.3390\/s24186073","type":"journal-article","created":{"date-parts":[[2024,9,20]],"date-time":"2024-09-20T02:47:07Z","timestamp":1726800427000},"page":"6073","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Cross-Country Ski Skating Style Sub-Technique Detection and Skiing Characteristic Analysis on Snow Using High-Precision GNSS"],"prefix":"10.3390","volume":"24","author":[{"given":"Shunya","family":"Uda","sequence":"first","affiliation":[{"name":"Graduate School of Health and Sports Science, Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe, Kyoto 610-0394, Japan"},{"name":"Research Center for Sports Sensing, Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe, Kyoto 610-0394, Japan"}]},{"given":"Naoto","family":"Miyamoto","sequence":"additional","affiliation":[{"name":"Research Center for Sports Sensing, Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe, Kyoto 610-0394, Japan"}]},{"given":"Kiyoshi","family":"Hirose","sequence":"additional","affiliation":[{"name":"Research Center for Sports Sensing, Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe, Kyoto 610-0394, Japan"},{"name":"Department of Production System Engineering and Sciences, Komatsu University, Nu 1-3 Shicho-machi, Komatsu Ishikawa 923-8511, Japan"}]},{"given":"Hiroshi","family":"Nakano","sequence":"additional","affiliation":[{"name":"Graduate School of Health and Sports Science, Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe, Kyoto 610-0394, Japan"},{"name":"Research Center for Sports Sensing, Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe, Kyoto 610-0394, Japan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6685-1540","authenticated-orcid":false,"given":"Thomas","family":"St\u00f6ggl","sequence":"additional","affiliation":[{"name":"Department of Sport and Exercise Science, University of Salzburg, 5020 Salzburg, Austria"}]},{"given":"Vesa","family":"Linnamo","sequence":"additional","affiliation":[{"name":"Faculty of Sport and Health Sciences, University of Jyv\u00e4skyl\u00e4, FI-40014 Jyv\u00e4skyl\u00e4, Finland"}]},{"given":"Stefan","family":"Lindinger","sequence":"additional","affiliation":[{"name":"Laboratory of Biomechanics of Skiing, Via Monte Confinale, 10, 23032 Bormio, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2438-5692","authenticated-orcid":false,"given":"Masaki","family":"Takeda","sequence":"additional","affiliation":[{"name":"Research Center for Sports Sensing, Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe, Kyoto 610-0394, Japan"},{"name":"Faculty of Health and Sports Science, Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe, Kyoto 610-0394, Japan"}]}],"member":"1968","published-online":{"date-parts":[[2024,9,19]]},"reference":[{"key":"ref_1","unstructured":"International Ski and Snowboard Federation (2023). 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