Abstract
Skiing is one of the most popular winter sports in the world. Even though the equipment has been improved for preventing injuries during skiing, injury risks of the lower extremity are still high. It is necessary to investigate injury risk by motion analysis during skiing. The wearable motion capture system consisting of inertial sensors and insole pressure sensors can be utilized due to restrictions of conventional optical motion capture system. In this study, the motions for short- and middleturns during skiing were analyzed using a wearable motion capture system and the multi-scale computer simulation technology. Seven male certified ski coaches participated in this study and their full body motion and foot pressure data were simultaneously recorded by the wearable motion capture system. Joint kinematics and kinetics in the hip, knee and ankle of the right lower extremity were analyzed during short- and middleturns. Even though a slight difference in the joint kinematics between two turns was predicted, the joint forces and moments for middle-turn were higher than those for short-turn. Because these higher joint forces and moments can result in osteoarthritis or ligament injury at the joint, injury risk of the joint for middleturn may be higher than that for short-turn. This study confirms that the wearable motion capture system is useful for measuring the motion and plantar pressure data in outdoor sports such as skiing.
Original language | English |
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Title of host publication | 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 695-698 |
Number of pages | 4 |
ISBN (Electronic) | 9781538616451 |
DOIs | |
Publication status | Published - 2017 Nov 27 |
Event | 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 - Banff, Canada Duration: 2017 Oct 5 → 2017 Oct 8 |
Publication series
Name | 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 |
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Volume | 2017-January |
Other
Other | 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 |
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Country/Territory | Canada |
City | Banff |
Period | 17/10/5 → 17/10/8 |
Bibliographical note
Funding Information:This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2017R1A2B4002000) and by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2017-2014-0-00729) supervised by the IITP (Institute for Information & communications Technology Promotion)
Publisher Copyright:
© 2017 IEEE.
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Science Applications
- Human-Computer Interaction
- Control and Optimization