Browsing by Author "Tsai, Hou-Chun"

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Computer-assisted Billiard Self-Training Using Intelligent Glasses
(2017-01-01)
Hsu, Chun-Chieh
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Tsai, Hou-Chun
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Chen, Hua-Tsung
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Tsai, Wen-Jiin
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Lee, Suh-Yin
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 computer-assisted 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.
Improving Golf Swing Skills Using Intelligent Glasses
(2015-01-01)
Chen, Hua-Tsung
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Huang, Tzu-Wei
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Chou, Chien-Li
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Tsai, Hou-Chun
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Lee, Suh-Yin
Since a proficient golf swing is a key element in success in golf, golfers always make much effort in improving their swing skills. However, if not under the supervision of a coach, a golfer cannot effectively perceive his/her faults in swings and comprehend how to change the swing mechanics. In this paper, we propose a vision-based golf training system, named "Improve My Golf Swing," which aims at improving the golfer's swing skills using intelligent glasses serving as a wearable displayer. The golfer's posture is analyzed through computation-efficient image processing techniques. Involving professional golf training knowledge, the proposed system automatically generates feature lines to evaluate whether the golfer's body is properly aligned. During a swing, the golfer can watch his/her own posture as well as the augmented feature lines displayed on the intelligent glasses. Instead of quantitative swing analysis, we focus on providing instructions of posture adjustment to the golfer in a more intuitive and unambiguous manner. Different audio alerts will be given to the golfer according to which part of a posture fault is detected. Experiments on different golf swing videos show encouraging results.