電腦輔助瑜珈運動學習與自我訓練系統

Abstract

自主練習在各項運動學習上皆扮演了很重要的角色，然而，在沒有教練或指導者的情況下，不適當的練習姿勢有可能會導致嚴重的運動傷害，所以利用電腦來輔助運動員自主訓練是近期熱門的研究方向。本論文研究中，我們提出了一個瑜珈自主訓練系統(YogaST)，目的在於輔助使用者以正確的姿勢練習瑜珈，並避免錯誤姿勢所造成之運動傷害。在此瑜珈運動系統中，我們導入專業的瑜珈訓練知識，同時分析經由正面和側面兩台Kinect得到的資訊，根據不同瑜珈姿勢的要求，輔助使用者修正、調整姿勢，以達到較佳的自主訓練效果。論文中利用輪廓、拓樸骨架、星狀骨架以及特徵主軸等方式來展示各個瑜珈姿勢，最終提供視覺化的矯正指示，以利使用者更快速且清楚地調整到正確姿勢。

Self-training plays an important role in sports exercise. However, if not under the instruction of a coach, improper training postures can cause serious harm to muscles and ligaments of the body. Hence, the development of computer-assisted self-training systems for sports exercise is a recently emerging research topic. In this paper, we propose a Yoga self-training system, entitled YogaST, which aims at instructing the user/practitioner to perform the asana (Yoga posture) correctly and preventing injury caused by improper postures. Involving professional Yoga training knowledge, YogaST analyzes the practitioner’s posture from both front and side views using two Kinects with perpendicular viewing directions and assists him/her in rectifying bad postures. The contour, topological skeleton, star skeleton, and feature axes of the human body are extracted as posture representations. Then, YogaST analyzes the practitioner’s posture and presents visualized instruction for posture rectification so that the practitioner can easily understand how to adjust his/her posture.