Computer-Assisted billiard self-Training using intelligent glasses

Chun Chieh Hsu; Hou Chun Tsai; Hua Tsung Chen; W. J. Tsai; Suh Yin Lee

doi:10.1109/ISPAN-FCST-ISCC.2017.36

Computer-Assisted billiard self-Training using intelligent glasses

Chun Chieh Hsu, Hou Chun Tsai, Hua Tsung Chen, W. J. Tsai, Suh Yin Lee

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Self-Training plays an important role in sports exercise. However, if not under the instruction of a coach, it would be ineffective for most amateurs or inexperienced players to exercise on their own. Therefore, establishing computerassisted training systems for sports exercise is a recently emerging topic. In this paper, we propose a billiard self-Training system, which aims at improving billiard players performance by utilizing intelligent glasses as a wearable camera and displayer. The proposed system is able to automatically analyze user-captured images of the billiard table from multiple views and display the ball configurations on a virtual top-view table. Enriched visual presentation can be provided to give the practitioner a further sight into the game. The experiments conducted on sixteen sets of different ball configurations show promising results.

Original language	English
Title of host publication	Proceedings - 14th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2017, 11th International Conference on Frontier of Computer Science and Technology, FCST 2017 and 3rd International Symposium of Creative Computing, ISCC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	119-126
Number of pages	8
ISBN (Electronic)	9781538608401
DOIs	https://doi.org/10.1109/ISPAN-FCST-ISCC.2017.36
State	Published - 27 Nov 2017
Event	14th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2017, 11th International Conference on Frontier of Computer Science and Technology, FCST 2017 and 3rd International Symposium of Creative Computing, ISCC 2017 - Exeter, Devon, United Kingdom Duration: 21 Jun 2017 → 23 Jun 2017

Publication series

Name	Proceedings - 14th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2017, 11th International Conference on Frontier of Computer Science and Technology, FCST 2017 and 3rd International Symposium of Creative Computing, ISCC 2017
Volume	2017-November

Conference

Conference	14th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2017, 11th International Conference on Frontier of Computer Science and Technology, FCST 2017 and 3rd International Symposium of Creative Computing, ISCC 2017
Country	United Kingdom
City	Exeter, Devon
Period	21/06/17 → 23/06/17

Keywords

Ball localization
Intelligent glasses
Multi-view image processing
Sports training
Wearable device

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Hsu, C. C., Tsai, H. C., Chen, H. T., Tsai, W. J., & Lee, S. Y. (2017). Computer-Assisted billiard self-Training using intelligent glasses. In Proceedings - 14th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2017, 11th International Conference on Frontier of Computer Science and Technology, FCST 2017 and 3rd International Symposium of Creative Computing, ISCC 2017 (pp. 119-126). (Proceedings - 14th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2017, 11th International Conference on Frontier of Computer Science and Technology, FCST 2017 and 3rd International Symposium of Creative Computing, ISCC 2017; Vol. 2017-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISPAN-FCST-ISCC.2017.36

Hsu, Chun Chieh ; Tsai, Hou Chun ; Chen, Hua Tsung ; Tsai, W. J. ; Lee, Suh Yin. / Computer-Assisted billiard self-Training using intelligent glasses. Proceedings - 14th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2017, 11th International Conference on Frontier of Computer Science and Technology, FCST 2017 and 3rd International Symposium of Creative Computing, ISCC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 119-126 (Proceedings - 14th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2017, 11th International Conference on Frontier of Computer Science and Technology, FCST 2017 and 3rd International Symposium of Creative Computing, ISCC 2017).

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title = "Computer-Assisted billiard self-Training using intelligent glasses",

abstract = "Self-Training plays an important role in sports exercise. However, if not under the instruction of a coach, it would be ineffective for most amateurs or inexperienced players to exercise on their own. Therefore, establishing computerassisted training systems for sports exercise is a recently emerging topic. In this paper, we propose a billiard self-Training system, which aims at improving billiard players performance by utilizing intelligent glasses as a wearable camera and displayer. The proposed system is able to automatically analyze user-captured images of the billiard table from multiple views and display the ball configurations on a virtual top-view table. Enriched visual presentation can be provided to give the practitioner a further sight into the game. The experiments conducted on sixteen sets of different ball configurations show promising results.",

keywords = "Ball localization, Intelligent glasses, Multi-view image processing, Sports training, Wearable device",

author = "Hsu, {Chun Chieh} and Tsai, {Hou Chun} and Chen, {Hua Tsung} and Tsai, {W. J.} and Lee, {Suh Yin}",

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Hsu, CC, Tsai, HC, Chen, HT, Tsai, WJ & Lee, SY 2017, Computer-Assisted billiard self-Training using intelligent glasses. in Proceedings - 14th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2017, 11th International Conference on Frontier of Computer Science and Technology, FCST 2017 and 3rd International Symposium of Creative Computing, ISCC 2017. Proceedings - 14th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2017, 11th International Conference on Frontier of Computer Science and Technology, FCST 2017 and 3rd International Symposium of Creative Computing, ISCC 2017, vol. 2017-November, Institute of Electrical and Electronics Engineers Inc., pp. 119-126, 14th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2017, 11th International Conference on Frontier of Computer Science and Technology, FCST 2017 and 3rd International Symposium of Creative Computing, ISCC 2017, Exeter, Devon, United Kingdom, 21/06/17. https://doi.org/10.1109/ISPAN-FCST-ISCC.2017.36

Computer-Assisted billiard self-Training using intelligent glasses. / Hsu, Chun Chieh; Tsai, Hou Chun; Chen, Hua Tsung; Tsai, W. J.; Lee, Suh Yin.

Proceedings - 14th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2017, 11th International Conference on Frontier of Computer Science and Technology, FCST 2017 and 3rd International Symposium of Creative Computing, ISCC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 119-126 (Proceedings - 14th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2017, 11th International Conference on Frontier of Computer Science and Technology, FCST 2017 and 3rd International Symposium of Creative Computing, ISCC 2017; Vol. 2017-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Lee, Suh Yin

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AB - Self-Training plays an important role in sports exercise. However, if not under the instruction of a coach, it would be ineffective for most amateurs or inexperienced players to exercise on their own. Therefore, establishing computerassisted training systems for sports exercise is a recently emerging topic. In this paper, we propose a billiard self-Training system, which aims at improving billiard players performance by utilizing intelligent glasses as a wearable camera and displayer. The proposed system is able to automatically analyze user-captured images of the billiard table from multiple views and display the ball configurations on a virtual top-view table. Enriched visual presentation can be provided to give the practitioner a further sight into the game. The experiments conducted on sixteen sets of different ball configurations show promising results.

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M3 - Conference contribution

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Hsu CC, Tsai HC, Chen HT, Tsai WJ, Lee SY. Computer-Assisted billiard self-Training using intelligent glasses. In Proceedings - 14th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2017, 11th International Conference on Frontier of Computer Science and Technology, FCST 2017 and 3rd International Symposium of Creative Computing, ISCC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 119-126. (Proceedings - 14th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2017, 11th International Conference on Frontier of Computer Science and Technology, FCST 2017 and 3rd International Symposium of Creative Computing, ISCC 2017). https://doi.org/10.1109/ISPAN-FCST-ISCC.2017.36