Name
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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/ISPAN-FCST-ISCC.2017.36 | 2017 14th International Symposium on Pervasive Systems, Algorithms and Networks & 2017 11th International Conference on Frontier of Computer Science and Technology & 2017 Third International Symposium of Creative Computing (ISPAN-FCST-ISCC) |
Keywords | Field | DocType |
sports training,ball localization,intelligent glasses,wearable device,multi-view image processing | Dynamical billiards,Visual presentation,Wearable computer,Visualization,Computer science,Sight,Human–computer interaction,Self training | Conference |
ISBN | Citations | PageRank |
978-1-5386-0841-8 | 0 | 0.34 |
References | Authors | |
11 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chun-Chieh Hsu | 1 | 16 | 5.22 |
| Hou-Chun Tsai | 2 | 1 | 0.69 |
| Hua-Tsung Chen | 3 | 289 | 28.72 |
| Wen-Jiin Tsai | 4 | 174 | 19.57 |
| Suh-Yin Lee | 5 | 1596 | 319.67 |