Search
Abstract
Abstract. Kitesurfing is a relatively new phenomenon with rising popularity worldwide – a recently developed extreme watersport considered a high-risk injury sport. It combines elements of several other sports, in particular, sailing, surfing, windsurfing, wakeboarding, and snowboarding. The main purpose of authors’ research in the present paper is to use a vision-based system for measuring a kitesurfer’s body movements in order to analyze the group of activated muscles during take-off and basic freestyle trick. The authors put a special emphasis on the handle pass trick, as it is very effective and, at the same time, one of the most destructive tricks for the kitesurfer’s shoulder joint. Another issue examined in this paper was how to perform kitesurfing tricks in laboratory conditions in order to measure kinematics in natural environmental.
Citations
-
1
CrossRef
-
0
Web of Science
-
3
Scopus
Authors (5)
-
Maciej Kłaczyński
- AGH Department of Mechanics and Vibroacoustics
-
Tadeusz Uhl
- AGH Department of Robotics and Mechatronics
-
Piotr Kohut dr inż.
- AGH Department of Robotics and Mechatronics
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.21595/jve.2016.17099
- License
-
open in new tab
Keywords
Details
- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
-
Journal of Vibroengineering
no. 18,
edition 3,
pages 1884 - 1892,
ISSN: 1392-8716 - Language:
- English
- Publication year:
- 2016
- Bibliographic description:
- Grzeczka A., Kłaczyński M., Wittbrodt E., Uhl T., Kohut P.: 2015. Motion analysis of a kitesurfer employing a vision-based measurement system// Journal of Vibroengineering. -Vol. 18, iss. 3 (2016), s.1884-1892
- DOI:
- Digital Object Identifier (open in new tab) 10.21595/jve.2016.17099
- Verified by:
- Gdańsk University of Technology
seen 243 times
Recommended for you
Machine Learning and Text Analysis in an Artificial Intelligent System for the Training of Air Traffic Controllers
- T. Shmelova,
- Y. Sikirda,
- N. Rizun
- + 2 authors
Evaluating Industry 4.0 Implementation Challenges Using Interpretive Structural Modeling and Fuzzy Analytic Hierarchy Process
- A. R. Bakhtari,
- M. Waris,
- C. Sanin
- + 1 authors