Literature DB >> 22620279

Quantifying instantaneous performance in alpine ski racing.

Peter Andreas Federolf1.   

Abstract

Alpine ski racing is a popular sport in many countries and a lot of research has gone into optimising athlete performance. Two factors influence athlete performance in a ski race: speed and the chosen path between the gates. However, to date there is no objective, quantitative method to determine instantaneous skiing performance that takes both of these factors into account. The purpose of this short communication was to define a variable quantifying instantaneous skiing performance and to study how this variable depended on the skiers' speed and on their chosen path. Instantaneous skiing performance was defined as time loss per elevation difference dt/dz, which depends on the skier's speed v(z), and the distance travelled per elevation difference ds/dz. Using kinematic data collected in an earlier study, it was evaluated how these variables can be used to assess the individual performance of six ski racers in two slalom turns. The performance analysis conducted in this study might be a useful tool not only for athletes and coaches preparing for competition, but also for sports scientists investigating skiing techniques or engineers developing and testing skiing equipment.

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Year:  2012        PMID: 22620279     DOI: 10.1080/02640414.2012.690073

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


  13 in total

1.  Estimation of Joint Moments During Turning Maneuvers in Alpine Skiing Using a Three Dimensional Musculoskeletal Skier Model and a Forward Dynamics Optimization Framework.

Authors:  Dieter Heinrich; Antonie J Van den Bogert; Werner Nachbauer
Journal:  Front Bioeng Biotechnol       Date:  2022-06-24

Review 2.  Biomechanical factors influencing the performance of elite Alpine ski racers.

Authors:  Kim Hébert-Losier; Matej Supej; Hans-Christer Holmberg
Journal:  Sports Med       Date:  2014-04       Impact factor: 11.136

3.  Estimation of alpine skier posture using machine learning techniques.

Authors:  Bojan Nemec; Tadej Petrič; Jan Babič; Matej Supej
Journal:  Sensors (Basel)       Date:  2014-10-13       Impact factor: 3.576

4.  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

5.  Recent Kinematic and Kinetic Advances in Olympic Alpine Skiing: Pyeongchang and Beyond.

Authors:  Matej Supej; H-C Holmberg
Journal:  Front Physiol       Date:  2019-02-20       Impact factor: 4.566

6.  Are Existing Monocular Computer Vision-Based 3D Motion Capture Approaches Ready for Deployment? A Methodological Study on the Example of Alpine Skiing.

Authors:  Mirela Ostrek; Helge Rhodin; Pascal Fua; Erich Müller; Jörg Spörri
Journal:  Sensors (Basel)       Date:  2019-10-06       Impact factor: 3.576

7.  Influence of Line Strategy Between Two Turns on Performance in Giant Slalom.

Authors:  Clément Delhaye; Matthew R Cross; Maximilien Bowen; Pierre Samozino; Frédérique Hintzy
Journal:  Front Sports Act Living       Date:  2020-11-25

8.  Methodological and Practical Considerations Associated With Assessment of Alpine Skiing Performance Using Global Navigation Satellite Systems.

Authors:  Matej Supej; Jörg Spörri; Hans-Christer Holmberg
Journal:  Front Sports Act Living       Date:  2020-01-22

9.  Determination of external forces in alpine skiing using a differential global navigation satellite system.

Authors:  Matthias Gilgien; Jörg Spörri; Julien Chardonnens; Josef Kröll; Erich Müller
Journal:  Sensors (Basel)       Date:  2013-08-02       Impact factor: 3.576

10.  Potential of IMU Sensors in Performance Analysis of Professional Alpine Skiers.

Authors:  Gwangjae Yu; Young Jae Jang; Jinhyeok Kim; Jin Hae Kim; Hye Young Kim; Kitae Kim; Siddhartha Bikram Panday
Journal:  Sensors (Basel)       Date:  2016-04-01       Impact factor: 3.576

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