Browse > Article
http://dx.doi.org/10.9717/kmms.2016.19.2.436

An Implementation of Taekwondo Action Recognition System using Multiple Sensing  

Lee, Byong Kwon (Dept. of Multimedia Engineering College of Engineering, Dongguk University)
Publication Information
Journal of Korea Multimedia Society / v.19, no.2, 2016 , pp. 436-442 More about this Journal
Abstract
There are a lot of sports when you left the victory and the defeat of the match the referee subjective judgment. In particular, TaeKwonDo pumse How accurate a given action? Is important. Objectively evaluate the subjective opinion of victory and defeat in a sporting event and the technology to keep as evidence is required. This study was implemented a system for recognizing Taekwondo executed through the number of motion recognition device. Step Sensor also used to detect a user's location. This study evaluated the rate matching the standard gesture data and the motion data. Through multiple gesture recognition equipment was more accurate assessment of the Taekwondo action.
Keywords
Gesture Recognition; Motion Capture; Correlation Analysis; Multiple Camera Recognition; Teakwondo Evaluation;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 S. Ghosh, A. Konar, and A.K. Nagar, "Gesture Recognition from Indian Classical Dance Using Kinect Sensor," Proceeding of IEEE Fifth International Conference on Computational Intelligence, Communication Systems and Networks, pp. 3-8, 2013.
2 K. Lai, J. Konrad, and P. Ishwar, "A Gesture-driven Computer Interface Using Kinect," Proceeding of IEEE Southwest Symposium on Image Analysis and Interpretation, pp. 22-24, 2012.
3 C. Yunyeon, T.Jiamei, J. Seungeun, K. Sangwook, “User Customizable Hit Action Recognition Method using Kinect,” Journal of Korea Multimedia Society Vol. 18, No. 4, April pp. 557-564, 2015.   DOI
4 K.K. Biswas and S.K. Basu, "Gesture Recognition Using Microsoft Kinect," Proceedings of the 5th International Conference on Automation, Robotics and Applications Dec 6-8, pp 100-103. 2011.
5 T. Gill, J.M. Keller, D.T. Anderson, and R.H. Luke III, "A System for Change Detection and Human Recognition in Voxel Space Using the Microsoft Kinect Sensor," Proceeding of IEEE Applied Imagery Pattern Recognition Workshop, pp. 11-13, 2011.
6 A. Shingade1 and A. Ghotkar2, “Animation of 3D Human Model Using Markerless Motion Capture Applied To Sports,” International Journal of Computer Graphics & Animation, Vol. 4, No. 1, pp. 21, 2014.   DOI
7 D. Lee and Y. Nakamura, "Motion Capturing from Monocular Vision by Statistical Inference Based on Motion Database: Vector Field Approach," Proceeding of IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 617-623, 2007.
8 M. Gabel, R. Gilad-Bachrach, and E. Renshaw, "Full Body Gait Analysis with Kinect," Engineering in Medicine and Biology Society, pp. 1964 -1967, 2012.
9 S. Izadi, D. Kim, O. Hilliges, D. Molyneaux, R. Newcombe, P. Kohli, J. Shotton, et al., "Kinectfusion: Realtime 3D Reconstruction and Interaction Using a Moving Depth Camera," Proceedings of the 24th Annual ACM Symposium on User Interface Software and Technology, pp. 559-568, 2011.
10 H. Jungong, L. Shao, D. Xu, and J. Shotton, “Enhanced Computer Vision with Microsoft Kinect Sensor: A Review,” IEEE Transactions on Cybernetics, Vol. 43, No. 5, pp 1318-1334. 2013.   DOI