DocumentCode :
233247
Title :
Extraction of Physical Motion Dictating the Difference between Skilled Cyclist and Beginner
Author :
Tokuyasu, T. ; Sato, T. ; Matsumoto, S. ; Kitawaki, T.
Author_Institution :
Dept. of Inf. & Syst. Eng., Fukuoka Inst. of Technol., Fukuoka, Japan
fYear :
2014
fDate :
8-10 Nov. 2014
Firstpage :
509
Lastpage :
513
Abstract :
In the field of cycling competition, cyclists commonly utilize binding pedals to maximize their competitive performance. The feature of binding pedals is to hold the sole of cycling shoe on the upper body of pedal, which enables a cyclist to not only push down the pedals but also pull up the pedals in one revolution of pedaling motion. Pedaling motion is implemented by the combination of muscle activities of lower extremity. The conversion efficiency from the physical strength of a cyclist to the propulsion power of a bicycle has been considered as the skill of pedaling exercise. By the way, neither effective instruments nor methods to accurately evaluate the pedaling skill have been established. Then, this study aims to extract the difference of physical motions between a skilled cyclist and a beginner by using the mechanical data of a bicycle and the electrophysiological data of a subject while pedaling exercise. This paper firstly introduces the experimental device and describes the protocol of measurement experiment. The measured data are statistically processed by using principal component analysis to extract the physical motions dictating the difference of pedaling skill between a skilled cyclist and a beginner.
Keywords :
biomechanics; electromyography; feature extraction; principal component analysis; activities; binding pedals; competitive performance; conversion efficiency; cycling competition; cycling shoe; electrophysiological data; lower extremity; measurement experiment protocol; mechanical data; muscle activities; pedaling exercise; pedaling motion; physical motion extraction; physical strength; principal component analysis; propulsion power; skilled cyclist; statistical processing; upper body; Acceleration; Bicycles; Computers; Data mining; Equations; Muscles; Principal component analysis; Cycling exercise; electromyography; pedaling skill;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Broadband and Wireless Computing, Communication and Applications (BWCCA), 2014 Ninth International Conference on
Conference_Location :
Guangdong
Print_ISBN :
978-1-4799-4174-2
Type :
conf
DOI :
10.1109/BWCCA.2014.109
Filename :
7016124
Link To Document :
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