有別於傳統學習太極拳的方法,我們提出了一套可以捕捉使用者多項身體動作資訊,並提供多項回饋及多階段學習的太極拳智慧學習系統。在本研究之系統中,結合了多項感測技術,包含:用於取得使用者三維骨架資訊的Kinect 攝影機、手臂旋轉方向資訊的Myo 臂戴裝置,以及足底壓力資訊的壓力感測鞋。藉由獲得以上資訊後,本系統加以視覺化設計,並提供使用者即時回饋資訊、引導提示和總結回饋等多項回饋。除此之外,針對太極拳的學習重點,區分成不同的學習模組,以提供漸進式的多階段學習設計。最後透過使用者測試來整體評估我們的系統及擁有身體重心回饋資訊是否對太極拳動作的學習有幫助。從研究結果的顯示來看,我們的系統對於太極拳學習有顯著的幫助,其中擁有身體重心回饋有助於提升使用者學習太極拳姿勢的正確性。
In addition to the tradition way of learning Tai Chi Chuan, we propose a smart learning system for Tai Chi Chuan which captures multiple information, offers various feedback and provides multiple stages for learning. Multiple sensors are used in this system: a Microsoft Kinect sensor for capturing 3D skeletal movement information, Myo gesture control armbands for arms orientation, and pressure sensing shoes for plantar pressure information. Various feedback such as sensors’ visualized information, guidance hints, and a record review browser with summary feedback are offered in this system. Multiple stages for learning are provided, which focus on different part of Tai Chi Chuan instruction and gradually reduce the user’s reliance on guidance and feedback. We evaluated our system and how having body weight center feedback improve the performance of learning Tai Chi Chuan movement in the user study. The result demonstrated that our system is suitable for learning Tai Chi Chuan, and learning body center weight have a great impact on learning Tai Chi Chuan movement.