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DBN model-based golf swing reconstruction using Kinect data
Received date: 2014-11-20
Revised date: 2015-06-12
Online published: 2016-03-15
Supported by
Supported by National Natural Science Foundation of China (61431017)
The last decade has witnessed an explosion of interest in golf, and the number of golf players has increased significantly. Therefore, how to train a golfer to make a proper and accurate golf swing has attracted extensive research attentions. Among these researches the most important step is swing capture and reconstruction. Thus far, restricted to the development of present depth imaging devices, of which the most famous one is Kinect, the initial captured swing movement may not be acceptable enough due to occlusions and mixing up of body parts. To restore motion information from self-occlusion and reconstruct 3D golf swing from low resolution depth data, a dynamic Bayesian network (DBN) model based golf swing reconstruction algorithm is proposed to increase the capture accuracy which integrates the spatial relationship among joints and their movement dynamics. Experimental results have proved that the proposed algorithm can achieve comparable reconstruction accuracy to the commercial optical motion caption (OMocap) system and better performance than state of art modification algorithms using depth information.
LV Dongyue , HUANG Zhipei , TAO Guanhong , YU Nenghai , WU Jiankang . DBN model-based golf swing reconstruction using Kinect data[J]. Journal of University of Chinese Academy of Sciences, 2016 , 33(2) : 204 -212 . DOI: 10.7523/j.issn.2095-6134.2016.02.009
[1] Mann R, Griffin F, Yocom G. Swing like a pro: the breakthrough scientific method of perfecting your golf swing[M].Random House Digital, Inc.,1998:
[2] Urtasun R, Fleet D J, Fua P. Monocular 3D tracking of the golf swing[C]//Computer Vision and Pattern Recognition 2005. IEEE Computer Society Conference on. IEEE,2005:932-938.
[3] Karliga I, Hwang J N. Analyzing human body 3-d motion of golf swing from single-camera video sequences[C]//Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on:Toulouse IEEE,2006:V-V.
[4] MacKenzie S J. Club position relative to the golfer's swing plane meaningfully affects swing dynamics[J]. Sports Biomechanics, 2012, 11(2):149-164.
[5] Coleman S, Anderson D. An examination of the planar nature of golf club motion in the swings of experienced players[J].Journal of Sports Sciences,2007,25(7):739-748.
[6] Kwon Y H. Kinematic analysis of sports movements: golf swing plane analysis[C]//ISBS-Conference Proceedings Archive: Limerick: 2009: 31-34.
[7] Nesbit S M, McGinnis R. Kinematic analyses of the golf swing hub path and its role in golfer/club kinetic transfers[J]. Journal of Sports Science and Medicine, 2009, 8(2): 235-246.
[8] Kenny I, Madden D, Downey J, et al. Biomechanical characterisation of leg movement during the golf swing following knee surgery[C]//2012 British Association of Sport and Exercise Sciences Biomechanics Interest Group Conference.2012.
[9] Chun S, Kang D, Choi H-R, et al. A sensor-aided self coaching model for uncocking improvement in golf swing[J]. Multimedia Tools and Applications, 2014, 72(1): 253-279.
[10] Suzuki S, Haake S, Heller B. Skill analysis of the wrist release in golf swing to utilize shaft elasticity[C]//Proceedings of APCST2005-Asia-Pacific congress on sports technology. 2005: 188-193.
[11] Zhou H, Hu H. Human motion tracking for rehabilitation: A survey[J].Biomedical Signal Processing and Control, 2008, 3(1): 1-18.
[12] Holte M B, Chakraborty B, Gonzalez J, et al. A local 3-D motion descriptor for multi-view human action recognition from 4-D spatio-temporal interest points[J]. Selected Topics in Signal Processing, IEEE Journal of, 2012, 6(5): 553-565.
[13] MacKenzie S J, Sprigings E J. A three-dimensional forward dynamics model of the golf swing[J]. Sports Engineering, 2009, 11(4): 165-175.
[14] Wu Q, Boulanger P. Real-time estimation of missing markers for reconstruction of human motion[C]//Virtual Reality (SVR), 2011 XIII Symposium on. Uberlandia: IEEE, 2011:161-168.
[15] Nesbit S M. A three dimensional kinematic and kinetic study of the golf swing[J]. Journal of Sports Science and Medicine, 2005, 4(4): 499-519.
[16] Watanabe K, Hokari M. Kinematical analysis and measurement of sports form[J]. Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on, 2006, 36(3): 549-557.
[17] Arvind D, Bates A. The speckled golfer[C]//Proceedings of the ICST 3rd international conference on Body area networks: Tempe, Arizona, USA. 2008: 1-7.
[18] Liu H, Wei X, Chai J, et al. Realtime human motion control with a small number of inertial sensors[C]//Symposium on Interactive 3D Graphics and Games: ACM. 2011: 133-140.
[19] Seaman A, McPhee J. Comparison of optical and inertial tracking of full golf swings[J]. Procedia Engineering, 2012, 34: 461-466.
[20] Evans K, Horan S A, Neal R J, et al. Repeatability of three-dimensional thorax and pelvis kinematics in the golf swing measured using a field-based motion capture system[J]. Sports Biomechanics, 2012, 11(2): 262-272.
[21] Smisek J, Jancosek M, Pajdla T. 3D with Kinect[C]//Computer Vision Workshops (ICCV Workshops), 2011 IEEE International Conference on Barcelona IEEE.2011: 1 154-1 160.
[22] Shum H P, Ho E S, Jiang Y, et al. Real-time posture reconstruction for Microsoft Kinect[J]. Cybernetics, IEEE Transactions on, 2013, 43(5): 1 357-1 369.
[23] Zhang L, Hsieh J-C, Ting T-T, et al. A Kinect based golf swing score and grade system using GMM and SVM[C]//Image and Signal Processing (CISP), 2012 5th International Congress on. Chongqing: IEEE, 2012: 711-715.
[24] Zhang L, Hsieh J C, Wang J. A Kinect-based golf swing classification system using HMM and Neuro-Fuzzy //Computer Science and Information Processing (CSIP), 2012 International Conference on. Xi'an: IEEE, 2012: 1 163-1 166.
[25] Lin Y-H, Huang S-Y, Hsiao K-F, et al. A Kinect-based system for golf beginners' training[M]. Springer, 2013: 121-129.
[26] Shen W, Deng K, Bai X, et al. Exemplar-based human action pose correction and tagging[C]//Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on. Providence, USA: IEEE, 2012: 1784-1791.
[27] MAT-T Website[DB/OL].[2014-11-23]. http://tmpl.taylormadegolf.com/mat-t-system.
[28] Introducing OpenNI[M/OL]. (2013-12-12).[2014-10-30] http://www.openni.org/images/stories/pdf/OpenNI_UserGuide.pdf.
[29] McGuan S P. Achieving commercial success with biomechanics simulation[C]//20 International Symposium on Biomechanics in Sports. Cáceres, Spain: 2002: 451- 460.
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