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http://dx.doi.org/10.9708/jksci.2015.20.3.089

Recognition of Basic Motions for Figure Skating using AHRS  

Kwon, Ki-Hyeon (Dept. of Electronics, Information & Communication Engineering, Kangwon National University)
Lee, Hyung-Bong (Dept. of Computer Science & Engineering, Gangneung-Wonju National University)
Publication Information
Journal of the Korea Society of Computer and Information / v.20, no.3, 2015 , pp. 89-96 More about this Journal
Abstract
IT is widely used for biomechanics and AHRS sensor also be highlighted with small sized characteristics and price competitiveness in the field of motion measurement and analysis of sports. In this paper, we attach the AHRS to the figure skate shoes to measure the motion data like spin, forward/backward, jump, in/out edge and toe movement. In order to reduce the measurement error, we have adopted the sensors equipped with Madgwick complementary filtering and also use Euler angle to quaternion conversion to reduce the Gimbal-lock effect. We test and experiment the accuracy and execution time of the pattern recognition algorithms like PCA, ICA, LDA, SVM to show the recognition possibility of it on the basic motions of figure skating from the 9-axis trajectory information which is gathered from AHRS sensor. From the result, PCA, ICA have low accuracy, but LDA, SVM have good accuracy to use for recognition of basic motions of figure skating.
Keywords
Figure Skating; AHRS, Attitude Heading Reference System; LDA; SVM; 9-Axis sensor; Madgwick Filter;
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Times Cited By KSCI : 6  (Citation Analysis)
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