Uda, S.; Miyamoto, N.; Hirose, K.; Nakano, H.; Stöggl, T.; Linnamo, V.; Lindinger, S.; Takeda, M. Cross-country Ski Skating Style Sub-techniques Detection and Skiing Characteristic Analysis on Snow Using High Precision GNSS. Preprints2024, 2024081487. https://doi.org/10.20944/preprints202408.1487.v1
APA Style
Uda, S., Miyamoto, N., Hirose, K., Nakano, H., Stöggl, T., Linnamo, V., Lindinger, S., & Takeda, M. (2024). Cross-country Ski Skating Style Sub-techniques Detection and Skiing Characteristic Analysis on Snow Using High Precision GNSS. Preprints. https://doi.org/10.20944/preprints202408.1487.v1
Chicago/Turabian Style
Uda, S., Stefan Lindinger and Masaki Takeda. 2024 "Cross-country Ski Skating Style Sub-techniques Detection and Skiing Characteristic Analysis on Snow Using High Precision GNSS" Preprints. https://doi.org/10.20944/preprints202408.1487.v1
Abstract
The comprehensive analysis of cross-country skiing races is a pivotal step in establishing effective training objectives and tactical strategies. This study aimed to establish a method for the classifi-cation of 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 at-taching 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 hor-izontal head movements and ground over velocity (VOG). Sub-techniques were classified by de-fining waveform patterns for G2, G3, G4, and G6 based on these data. The validity of classifica-tion was verified by comparing GNSS data with video analysis, a process that yielded classifica-tion accuracies ranging from 94.0% to 99.3% for G2, G3, G4, and G6. 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 ath-letes and coaches, as they demonstrate that high-precision kinematic GNSS devices can accurate-ly classify sub-techniques and detect skiing characteristics during skate-style cross-country skiing races, thereby providing valuable insights for training and strategy development.
Keywords
High precision GNSS; Cross-country skiing; Skating techniques; Sub-technique classification
Subject
Biology and Life Sciences, Other
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
