Cross-Country Ski Skating Style Sub-Technique Detection and Skiing Characteristic Analysis on Snow Using High-Precision GNSS
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 race...
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MDPI AG
2024-09-01
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| Online Access: | https://www.mdpi.com/1424-8220/24/18/6073 |
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| author | Shunya Uda Naoto Miyamoto Kiyoshi Hirose Hiroshi Nakano Thomas Stöggl Vesa Linnamo Stefan Lindinger Masaki Takeda |
| author_facet | Shunya Uda Naoto Miyamoto Kiyoshi Hirose Hiroshi Nakano Thomas Stöggl Vesa Linnamo Stefan Lindinger Masaki Takeda |
| author_sort | Shunya Uda |
| collection | DOAJ |
| description | 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’s 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. |
| format | Article |
| id | doaj-art-378dbf04a77b40128c161f141d6d690e |
| institution | OA Journals |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | MDPI AG |
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| series | Sensors |
| spelling | doaj-art-378dbf04a77b40128c161f141d6d690e2025-08-20T01:55:51ZengMDPI AGSensors1424-82202024-09-012418607310.3390/s24186073Cross-Country Ski Skating Style Sub-Technique Detection and Skiing Characteristic Analysis on Snow Using High-Precision GNSSShunya Uda0Naoto Miyamoto1Kiyoshi Hirose2Hiroshi Nakano3Thomas Stöggl4Vesa Linnamo5Stefan Lindinger6Masaki Takeda7Graduate School of Health and Sports Science, Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe, Kyoto 610-0394, JapanResearch Center for Sports Sensing, Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe, Kyoto 610-0394, JapanResearch Center for Sports Sensing, Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe, Kyoto 610-0394, JapanGraduate School of Health and Sports Science, Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe, Kyoto 610-0394, JapanDepartment of Sport and Exercise Science, University of Salzburg, 5020 Salzburg, AustriaFaculty of Sport and Health Sciences, University of Jyväskylä, FI-40014 Jyväskylä, FinlandLaboratory of Biomechanics of Skiing, Via Monte Confinale, 10, 23032 Bormio, ItalyResearch Center for Sports Sensing, Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe, Kyoto 610-0394, JapanA 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’s 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.https://www.mdpi.com/1424-8220/24/18/6073high-precision GNSScross-country skiingskating techniquessub-technique classification |
| spellingShingle | Shunya Uda Naoto Miyamoto Kiyoshi Hirose Hiroshi Nakano Thomas Stöggl Vesa Linnamo Stefan Lindinger Masaki Takeda Cross-Country Ski Skating Style Sub-Technique Detection and Skiing Characteristic Analysis on Snow Using High-Precision GNSS Sensors high-precision GNSS cross-country skiing skating techniques sub-technique classification |
| title | Cross-Country Ski Skating Style Sub-Technique Detection and Skiing Characteristic Analysis on Snow Using High-Precision GNSS |
| title_full | Cross-Country Ski Skating Style Sub-Technique Detection and Skiing Characteristic Analysis on Snow Using High-Precision GNSS |
| title_fullStr | Cross-Country Ski Skating Style Sub-Technique Detection and Skiing Characteristic Analysis on Snow Using High-Precision GNSS |
| title_full_unstemmed | Cross-Country Ski Skating Style Sub-Technique Detection and Skiing Characteristic Analysis on Snow Using High-Precision GNSS |
| title_short | Cross-Country Ski Skating Style Sub-Technique Detection and Skiing Characteristic Analysis on Snow Using High-Precision GNSS |
| title_sort | cross country ski skating style sub technique detection and skiing characteristic analysis on snow using high precision gnss |
| topic | high-precision GNSS cross-country skiing skating techniques sub-technique classification |
| url | https://www.mdpi.com/1424-8220/24/18/6073 |
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