Abstract
Golf is well known worldwide as a prestigious and enjoyable sport. However, access to golf has been limited by high training costs, such as coaching fees, equipment, and course/driving range fees. This paper proposed a cost-effective golf assistive system, which is designed for golf beginners. This system uses Kinect sensor to detect beginners common swing mistakes. The experimental results indicate that the accuracy ratio in detection of errors is over 80 %. This paper provides a useful alternative assistive system for improving golf swings.
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References
Ghasemzadeh H, Loseu V, Guenterberg E, Jafari R (2009) Sport training using body sensor networks: a statistical approach to measure wrist rotation for golf swing. In: BodyNets’09: proceedings of the fourth international conference on body area networks, pp 1–8
Ghasemzadeh H, Loseu V, Jafari R (2009) Wearable coach for sport training: A quantitative model to evaluate wrist-rotation in golf. J Ambient Intell Smart Environ 1:173–184
K-vest website (2009) .http://www.k-vest.com/
Sonic golf website (2009). http://www.sonicgolf.com/
Smartswing golf website (2009). http://www.smartswinggolf.com/site/
King K, Yoon SW, Perkins NC (2008) Wireless mems inertial sensor system for golf swing dynamics. Sens Actuators A 141(2):619–630
Burchfield R, Venkatesan S (2010) A framework for golf training using low-cost inertial sensors. In: Body sensor networks (BSN’10), pp 267–272
Blake, Grundy C (2008) Evaluation of motion capture systems for golf swings: optical versus gyroscopic. In: Information technology interfaces (ITI’08), pp 409–414
Blair D (2007) Unique golf teaching System. http://www.ugt.co.uk/
Howe N, Leventon M, Freeman W (1999) Bayesian reconstruction of 3-D human motion from single-camera video. In: NIPS’99
DiFranco DE, Tat-Jen C, Rehg JM (2001) Reconstruction of 3D figure motion from 2D. In: CVPR, pp 307–314
Goncalves L, Perona P (1995) Monocular tracking of human arm in 3D. In: ICCV’95, Boston, USA, Jul 1995
Sappa A, Aifanti N, Malassiotis S, Strintzis MG (2003) Monocular 3D human body reconstruction towards depth augmentation of television sequences. In: IEEE ICIP 2003
Luo Y, Hwang J-N (2005) A comprehensive coarse-to-fine sports video analysis framework to infer 3D parameters of video objects with application to tennis video sequences. In: IEEEICASSP 2005
Hwang J-N, Karliga I, Cheng H-Y (2006) an automatic 3-D human behavior analysis system for video surveillance applications. In: IEEE ISCAS
Urtasun R, Fleet DJ, Fua P (2005) Monocular 3–D tracking of the golf swing. In: IEEE CVPR, pp 932–939
Karliga, Hwang J-N (2006) Analyzing human body 3-D motion of golf swing from Single-camera video sequences. In: IEEE ICASSP
Acknowledgments
This research is supported in part by the National Science Council, Taiwan under the grant of NSC 101-2221-E130-024-MY2 and NSC 100-2511-S-130-003-MY2.
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Lin, YH., Huang, SY., Hsiao, KF., Kuo, KP., Wan, LT. (2013). A Kinect-Based System for Golf Beginners’ Training. In: Park, J.J., Barolli, L., Xhafa, F., Jeong, H.Y. (eds) Information Technology Convergence. Lecture Notes in Electrical Engineering, vol 253. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6996-0_13
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DOI: https://doi.org/10.1007/978-94-007-6996-0_13
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