利用逆向動力學與最佳化判斷跆拳道前踢肌肉施力之方法

Abstract

肌肉肌腱拉傷為常見的運動傷害，而受傷的肌肉會影響運動員的表現。本論文以跆拳道的前踢為例，探討運動時涉及的肌肉與肌肉群，並從力學的角度探討肌肉如何影響運動員的動作。本研究先透過攝影術將運動員的動作記錄下來，取得前踢動作的運動資料，再由此建立理想與非理想前踢的數學模型。利用逆向動力學分析運動員在前踢動作時關節的受力狀況，再經由最佳化找出肌肉如何施力。結果顯示，不同的前踢形態會得出不同的肌肉施力情形。本論文探討理想與非理想前踢時肌肉施力的狀況，由此比較兩者之間肌肉施力的差異，希望藉此提供一個可以透過運動員的動作推測肌肉傷害的方法。

Muscle injuries are common in sports. Injured muscles can affect performance of athletes. In this thesis, the case of a taekwondo front kick is evaluated. This thesis investigates the relationship between muscle forces and movements. The dynamics of a kick is analysed by motion capture. Next the profiles of both ideal and flawed kicks are defined based on the video analysed. Muscle forces is then estimated using optimization based on joint torques obtained from inverse dynamics. As observed, different profiles of kick give different muscle force patterns. This thesis determines the differences in muscle force patterns between ideal and flawed kicks. From here, it is possible that the differences can be used to determine which muscles are weak or injured. The results of this thesis provide a method to estimate muscle forces from movements performed by athletes.