Abstract
This study displays a method to recognize and segment the time-sequential postures of golf swing. It’s crucial to develop a system that can effectively recognize the steps of golf swing and facilitate self-learning of correct golf swing. First, a game controller, Kinect, is used to capture the 3D skeleton coordination of a golfer while performing swing. Second, a Hidden Markov Model (HMM) is applied onto the symbol sequence to recognize and segment the postures of golf swing. Results indicate that the proposed methods can effectively identify and categorize golf swing into 5 stages In conclusions, this developed golf swing training system is cost-effective as compared to traditional camera based golf swing trainer.
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References
Yamato, J., Ohya, J., Ishii, K.: Recognizing Human action in time-sequential images using Hidden Markov Model. In: CVPR 1992, Champaign, IL, pp. 379–385 (1992)
Pellegrin, S., Iocchi, L.: Human Posture Tracking and Classification through Stereo Vision and 3D Model Matching. EURASIP Journal on Image and Processing 2008 (April 2008)
Kellokumpu, V., Pietikainen, M., Heikkila, J.: Human Activity Recognition Using Sequences of Posture. In: Proceedings of IAPR 2005, Tsukuba City, pp. 570–573 (2005)
Gulgin, H., Armstrong, C., Gribble, P.: Hip rotational velocities during the full golf swing. Journal of Sports Science and Machine 8, 296–299 (2009)
Xia, L., Chen, C.: Human Detection Using Depth Information by Kinect. In: CVPRW 2011, CO, pp. 15–22 (2011)
Kale, A., Rajagopalan, A., Cuntoor, N., Kruger, V.: Gait-based recognition of human using continuous HMMs. Automatic Face and Gesture Recognition, 336–341 (2002)
Rubine, D.: Specifying gesture by example. Computer Graphics 21(4), 329–337 (1991)
Sun, Z., Liu, W., Peng, B., Zhang, B., Sun, J.: User Adaptation for Online Sketchy Shape Recognition. In: Lladós, J., Kwon, Y.-B. (eds.) GREC 2003. LNCS, vol. 3088, pp. 305–316. Springer, Heidelberg (2004)
Derk, A., Craig, B.: Hidden Markov Model symbol recognition for sketch-based interfaces. In: Proc. of AAAI Fall Symposium, Arlington, Virginia, pp. 15–21 (2004)
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Zhang, L., Hsieh, JC., Li, S. (2013). A Kinect Based Golf Swing Reorganization and Segmentation System. In: Zu, Q., Hu, B., Elçi, A. (eds) Pervasive Computing and the Networked World. ICPCA/SWS 2012. Lecture Notes in Computer Science, vol 7719. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37015-1_73
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DOI: https://doi.org/10.1007/978-3-642-37015-1_73
Publisher Name: Springer, Berlin, Heidelberg
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