Abstract
The push-off mechanism to generate forward movement in skating has been analyzed by using high-speed cameras and specially designed skates because it is closely related to skater performance. However, using high-speed cameras for such an investigation, it is hard to measure the three-dimensional push-off force, and a skate with strain gauges is difficult to implement in the real competitions. In this study, we provided a new method to evaluate the three-dimensional push-off angle in short-track speed skating based on motion analysis using a wearable motion analysis system with inertial measurement unit sensors to avoid using a special skate or specific equipment insert into the skate for measurement of push-off force. The estimated push-off angle based on motion analysis data was very close to that based on push-off force with a small root mean square difference less than 6% when using the lateral marker in the left leg and the medial marker in the right leg regardless of skating phase. These results indicated that the push-off angle estimation based on motion analysis data using a wearable motion capture system of inertial measurement unit sensors could be acceptable for realistic situations. The proposed method was shown to be feasible during short-track speed skating. This study is meaningful because it can provide a more acceptable push-off angle estimation in real competitive situations.
Original language | English |
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Pages (from-to) | 476-480 |
Number of pages | 5 |
Journal | Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine |
Volume | 233 |
Issue number | 4 |
DOIs | |
Publication status | Published - 2019 Apr 1 |
Bibliographical note
Funding Information:The author(s) disclosed receipt of the following financial support for the research, authorship and/or publication of this article: This research was supported by Sports Scientification of Convergent R&D Program through the National Research Foundation (NRF) of Korea funded by the Ministry of Science and ICT (grant no.: NRF-2014M3C1B1033320).
Publisher Copyright:
© IMechE 2019.
All Science Journal Classification (ASJC) codes
- Mechanical Engineering