Technique detection of cross-country ski based on high precision positioning system

2022 Fiscal Year Final Research Report

• Project/Area Number: 20K11411
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 59020:Sports sciences-related
• Research Institution: Tohoku University
• Principal Investigator: Miyamoto Naoto 東北大学, 未来科学技術共同研究センター, 特任准教授 (60400462)
• Project Period (FY): 2020-04-01 – 2023-03-31
• Keywords: クロスカントリースキー / 動作解析 / 走法判別 / GNSS / RTK

Outline of Final Research Achievements

In this study, sub-technique was analyzed from the head movements of cross-country skiers using a wearable kinematic GNSS. In cross-country skiing competitions, athletes need to select the most appropriate sub-technique depending on the course and speed. In this study, world-class athletes were equipped with a wearable kinematic GNSS and an action camera to perform time trials, and their head movements measured by the GNSS were used to determine their sub-technique.
As a result, the GNSS could measure the motion of the head with mm accuracy, and characteristic waveforms were obtained for each sub-technique. The discrimination rate between GNSS and camera was about 98%, which indicates that the head movement alone is sufficient to discriminate sub-technique.
Furthermore, a system was constructed to visualize the relationship between the sub-technique used and the map, slope, and speed of the course, enabling rapid feedback of the running results to athletes and coaches.

Free Research Field

スポーツ科学

Academic Significance and Societal Importance of the Research Achievements

本研究では，クロスカントリースキー選手の競技力向上に役立つ分析・可視化システムを開発した．このシステムは，ミリメートル級の測位精度をもつ高精度ウェアラブルGNSSを用いて選手の頭の動きを計測し，選手が選択した走法を判別するとともに，コースの特徴を詳細に記録し，選手・コーチにフィードバックすることができる．ワールドクラスの選手による評価実験では，走法判別率は約98％と高い精度を示した．このシステムは，クロスカントリースキーの滑走技術や戦略の向上に有効なツールとなると考えられる．