Literature DB >> 24117224

Measurement of the dynamics in ski jumping using a wearable inertial sensor-based system.

Julien Chardonnens1, Julien Favre, Florian Cuendet, Gérald Gremion, Kamiar Aminian.   

Abstract

Dynamics is a central aspect of ski jumping, particularly during take-off and stable flight. Currently, measurement systems able to measure ski jumping dynamics (e.g. 3D cameras, force plates) are complex and only available in few research centres worldwide. This study proposes a method to determine dynamics using a wearable inertial sensor-based system which can be used routinely on any ski jumping hill. The system automatically calculates characteristic dynamic parameters during take-off (position and velocity of the centre of mass perpendicular to the table, force acting on the centre of mass perpendicular to the table and somersault angular velocity) and stable flight (total aerodynamic force). Furthermore, the acceleration of the ski perpendicular to the table was quantified to characterise the skis lift at take-off. The system was tested with two groups of 11 athletes with different jump distances. The force acting on the centre of mass, acceleration of the ski perpendicular to the table, somersault angular velocity and total aerodynamic force were different between groups and correlated with the jump distances. Furthermore, all dynamic parameters were within the range of prior studies based on stationary measurement systems, except for the centre of mass mean force which was slightly lower.

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Year:  2013        PMID: 24117224     DOI: 10.1080/02640414.2013.845679

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  9 in total

Review 1.  Trends Supporting the In-Field Use of Wearable Inertial Sensors for Sport Performance Evaluation: A Systematic Review.

Authors:  Valentina Camomilla; Elena Bergamini; Silvia Fantozzi; Giuseppe Vannozzi
Journal:  Sensors (Basel)       Date:  2018-03-15       Impact factor: 3.576

2.  Estimation of joint forces and moments for the in-run and take-off in ski jumping based on measurements with wearable inertial sensors.

Authors:  Grega Logar; Marko Munih
Journal:  Sensors (Basel)       Date:  2015-05-13       Impact factor: 3.576

3.  Automatic classification of the sub-techniques (gears) used in cross-country ski skating employing a mobile phone.

Authors:  Thomas Stöggl; Anders Holst; Arndt Jonasson; Erik Andersson; Tobias Wunsch; Christer Norström; Hans-Christer Holmberg
Journal:  Sensors (Basel)       Date:  2014-10-31       Impact factor: 3.576

4.  The Use of Body Worn Sensors for Detecting the Vibrations Acting on the Lower Back in Alpine Ski Racing.

Authors:  Jörg Spörri; Josef Kröll; Benedikt Fasel; Kamiar Aminian; Erich Müller
Journal:  Front Physiol       Date:  2017-07-20       Impact factor: 4.566

5.  An Inertial Sensor-Based Method for Estimating the Athlete's Relative Joint Center Positions and Center of Mass Kinematics in Alpine Ski Racing.

Authors:  Benedikt Fasel; Jörg Spörri; Pascal Schütz; Silvio Lorenzetti; Kamiar Aminian
Journal:  Front Physiol       Date:  2017-11-01       Impact factor: 4.566

6.  Ski Jumping Trajectory Reconstruction Using Wearable Sensors via Extended Rauch-Tung-Striebel Smoother with State Constraints.

Authors:  Xiang Fang; Benedikt Grüter; Patrick Piprek; Veronica Bessone; Johannes Petrat; Florian Holzapfel
Journal:  Sensors (Basel)       Date:  2020-04-02       Impact factor: 3.576

7.  Development of a New Embedded Dynamometer for the Measurement of Forces and Torques at the Ski-Binding Interface.

Authors:  Frédéric Meyer; Alain Prenleloup; Alain Schorderet
Journal:  Sensors (Basel)       Date:  2019-10-07       Impact factor: 3.576

8.  Experimental Validation of Real-Time Ski Jumping Tracking System Based on Wearable Sensors.

Authors:  Johannes Link; Sébastien Guillaume; Bjoern M Eskofier
Journal:  Sensors (Basel)       Date:  2021-11-23       Impact factor: 3.576

9.  Kinematic Determination of the Aerial Phase in Ski Jumping.

Authors:  Ola Elfmark; Gertjan Ettema; Petter Jølstad; Matthias Gilgien
Journal:  Sensors (Basel)       Date:  2022-01-11       Impact factor: 3.576

  9 in total

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