本研究旨在以物聯網的概念設計與實作一運動訓練系統－ITETS，並能佈署在一般使用者的家中，達到遠端協助訓練運動基本姿勢的目的。此運動訓練系統能記錄使用者練習或運動的過程，並分析運動姿勢的骨架資訊。不同運動種類的專業人員也可以錄製並建立各類運動的標準姿勢，再以所建立的訓練模組比對使用者的紀錄，並遠端地給予建議以及指出關鍵的錯誤。為了讓使用者能在家自我學習，本文提出一項物聯網物件－RGB-D Capturer，用以捕捉使用者的動作影像並上傳至雲端後做進一步的應用。將RGB-D Capturer 應用在此運動訓練系統能使佈署室內運動環境更加地容易。最後，以排球員三項基本姿勢測試並評估此系統的運作情況，並經由系統的比對結果與回饋以及專業人員的建議，讓初學者達到自學並改善個人動作的目的。

This research focuses on designing and implementing an IoT-Based Exercise Training System, called ITETS, which can be deployed in a user’s home to help a user have standard postures and give assistance remotely. ITETS can record user motions when doing exercises and process the recorded images into skeleton information. Professionals in different kinds of exercises can also record their standard postures and create training modules, respectively. In order to provide a self-learning environment, an IoT object, called RGB-D Capturer, is proposed. Three sample (standard) postures of volleyball players are introduced to test and evaluate the proposed system. The results show that a beginner can self-learn and improve standard postures by the assistance of the proposed system.

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