Training Assistant : Basketball Tactic and Decision-making Training VR System

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蔡菀倫

Wan-Lun Tsai
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蘇俐文

Li-Wen Su
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柯采妍

Tsai-Yen Ko
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張矽晶

Xi-Jing Chang
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張瑜真

Yu-Chen Chang
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鍾明芬

Ming-Fen Chung
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潘則佑

Tse-Yu Pan
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胡敏君

Min-Chun Hu

Tactic training plays a crucial role in basketball offensive plays. With the aid of virtual reality, we propose a framework to improve the effectiveness and experience of tactic learning. The framework consists of a tactic input device and a wireless VR interaction system, which allows the user to conveniently input target tactic and practice in a high-fidelity circumstance. By the assistance of our VR training system, the user can vividly experience how the tactics are executed by viewing from the a specific player’s viewing direction. Additionally, tactic movement guidance, action hint of how to offense aggressively, and virtual defenders are rendered in our system to make the training more realistic. By using the proposed framework, players can strengthen their tactical nous and improve the efficiency of tactic training.

Decision-making is an essential part in basketball offenses. Offensive players need to make effective decisions to score a basket in various defensive situations. Virtual reality has been widely used in the training of sports players to strengthen their ability of making optimal decisions by creating controllable and repeatable training scenarios. We proposed a basketball offensive decision-making training system. During the training, the trainee can intuitively interact with the system by wearing a motion capture suit and be trained in different virtual defensive scenarios designed by professional coaches. The system will recognize the offensive action performed by the user and provide correct suggestions when he/she makes a bad offensive decision.

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BibTeX

@INPROCEEDINGS{8026247, author={Wan-Lun Tsai and Min-Chun Hu}, booktitle={2018 ACM SIGGRAPH Posters}, title={Training assistant: strengthen your tactical nous with proficient virtual basketball players}, year={2018}, month={August},}

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