Automated Identification and Evaluation of Subtechniques in Classical-Style Roller Skiing

The aims of the present study were (1) the development of an automated system for identifying classical-style ski subtechniques using angular rate sensors, and (2) the determination of the relationships among skiing velocity, ski course conditions, and ski subtechniques using a global navigation sat...

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Main Author: Yoshihisa Sakurai, Zenya Fujita, Yusuke Ishige
Format: Article
Language:English
Published: University of Uludag 2014-09-01
Series:Journal of Sports Science and Medicine
Subjects:
Online Access:http://www.jssm.org/research.php?id=jssm-13-651.xml
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spelling doaj-c81ac344fc7647de86c63559375fd2522020-11-24T23:09:08ZengUniversity of UludagJournal of Sports Science and Medicine1303-29682014-09-01133651657Automated Identification and Evaluation of Subtechniques in Classical-Style Roller SkiingYoshihisa Sakurai, Zenya Fujita, Yusuke Ishige0Department of Sports Sciences, Japan Institute of Sports Sciences, Tokyo, JapanThe aims of the present study were (1) the development of an automated system for identifying classical-style ski subtechniques using angular rate sensors, and (2) the determination of the relationships among skiing velocity, ski course conditions, and ski subtechniques using a global navigation satellite system (GNSS) and the developed automated identification system. In the first experiment, the performance of a male cross-country skier was used to develop an automated system for identifying classical-style ski subtechniques. In the second one, the performances of five male and five female college cross-country skiers were used to validate the developed identification system. Each subject wore inertial sensors on both wrists and both roller skis, a small video camera on the helmet, and a GNSS receiver. All subjects skied a 6,900-m roller ski course using the classical-style at their maximum speed. The adopted subtechniques were identified by the automated method based on the data obtained from the sensors, and also by visual count from a video recording of the same ski run. The results showed that the automated identification method could be definitively used to recognize various subtechniques. Specifically, the system correctly identified 9,307 subtechnique cycles out of a total of 9,444 counted visually, which indicated an accuracy of 98.5%. We also measured the skiing velocity and the course slope using the GNSS module. The data was then used to determine the subtechnique distributions as a function of the inclination and skiing velocity. It was observed that male and female skiers selected double poling below 6.7° and 5.5° uphill, respectively. In addition, male and female skiers selected diagonal stride above 0.7° and 2.5° uphill, and below 5.4 m/s and 4.5 m/s velocity, respectively. These results implied that the subtechnique distribution plot could be used to analyze the technical characteristics of each skier.http://www.jssm.org/research.php?id=jssm-13-651.xmlGPS/GNSScross-country skiinginertial sensorangular rate
collection DOAJ
language English
format Article
sources DOAJ
author Yoshihisa Sakurai, Zenya Fujita, Yusuke Ishige
spellingShingle Yoshihisa Sakurai, Zenya Fujita, Yusuke Ishige
Automated Identification and Evaluation of Subtechniques in Classical-Style Roller Skiing
Journal of Sports Science and Medicine
GPS/GNSS
cross-country skiing
inertial sensor
angular rate
author_facet Yoshihisa Sakurai, Zenya Fujita, Yusuke Ishige
author_sort Yoshihisa Sakurai, Zenya Fujita, Yusuke Ishige
title Automated Identification and Evaluation of Subtechniques in Classical-Style Roller Skiing
title_short Automated Identification and Evaluation of Subtechniques in Classical-Style Roller Skiing
title_full Automated Identification and Evaluation of Subtechniques in Classical-Style Roller Skiing
title_fullStr Automated Identification and Evaluation of Subtechniques in Classical-Style Roller Skiing
title_full_unstemmed Automated Identification and Evaluation of Subtechniques in Classical-Style Roller Skiing
title_sort automated identification and evaluation of subtechniques in classical-style roller skiing
publisher University of Uludag
series Journal of Sports Science and Medicine
issn 1303-2968
publishDate 2014-09-01
description The aims of the present study were (1) the development of an automated system for identifying classical-style ski subtechniques using angular rate sensors, and (2) the determination of the relationships among skiing velocity, ski course conditions, and ski subtechniques using a global navigation satellite system (GNSS) and the developed automated identification system. In the first experiment, the performance of a male cross-country skier was used to develop an automated system for identifying classical-style ski subtechniques. In the second one, the performances of five male and five female college cross-country skiers were used to validate the developed identification system. Each subject wore inertial sensors on both wrists and both roller skis, a small video camera on the helmet, and a GNSS receiver. All subjects skied a 6,900-m roller ski course using the classical-style at their maximum speed. The adopted subtechniques were identified by the automated method based on the data obtained from the sensors, and also by visual count from a video recording of the same ski run. The results showed that the automated identification method could be definitively used to recognize various subtechniques. Specifically, the system correctly identified 9,307 subtechnique cycles out of a total of 9,444 counted visually, which indicated an accuracy of 98.5%. We also measured the skiing velocity and the course slope using the GNSS module. The data was then used to determine the subtechnique distributions as a function of the inclination and skiing velocity. It was observed that male and female skiers selected double poling below 6.7° and 5.5° uphill, respectively. In addition, male and female skiers selected diagonal stride above 0.7° and 2.5° uphill, and below 5.4 m/s and 4.5 m/s velocity, respectively. These results implied that the subtechnique distribution plot could be used to analyze the technical characteristics of each skier.
topic GPS/GNSS
cross-country skiing
inertial sensor
angular rate
url http://www.jssm.org/research.php?id=jssm-13-651.xml
work_keys_str_mv AT yoshihisasakuraizenyafujitayusukeishige automatedidentificationandevaluationofsubtechniquesinclassicalstylerollerskiing
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