一、課程說明(Course Desc<x>ription)
<br>本課程介紹基礎電腦視覺、動作分析、虛擬實境、資料視覺化等技術，並透過案例分析，探討現今運用
<br>相關多媒體資訊技術於運動情蒐與訓練之系統的優缺點，進一步帶領學生進行使用者研究，針對使用者
<br>需求設計創新運動科技系統之原型。
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<br>二、教學方式(Teaching Method)
<br>課堂投影片講授、作業與期末報告
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<br>三、教學進度(Syllabus)
<br>Week 1: Syllabus & Introduction to Multimedia Technology for Sports
<br>Week 2~6: Sports Video Analysis
<br>* Machine Learning Basics
<br>* AI Basics
<br>* Web and AI technology for efficient data labeling
<br>* ob<x>ject Detection
<br>* ob<x>ject Tracking
<br>* Court Calibration/Tracking
<br>* Pose Estimation/Tracking
<br>* Action Recognition/Event Detection
<br>* OCR
<br>* Trajectory Generation
<br>* Tactics Recognition
<br>Week 7~8: Data Visualization
<br>* 3D Pose/Trajectory Visualization
<br>* Data Visualization Tools
<br>Week 9~12: Sports Training in VR
<br>* 360 video filming
<br>* VR UI design
<br>* Virtual Character Creation
<br>* Motion Capture 
<br>* Transfer Mocap Data to Virtual Character
<br>* Multi-platform VR
<br>Week 13: Project Brainstorming ba<x>sed on Pilot User Study
<br>Week 14~15: Project Prototyping
<br>Week 16: Final Presentation
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<br>四、成績考核(Evaluation)
<br>* HW: 50% 
<br>* Final Presentation: 30%
<br>* Attendance and Class Participation: 20%
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<br>五、AI使用原則: 有條件開放，需註明如何使用生成式AI於課程產出。