本研究使用模擬軟體對於棒球之投手投球動作進行正向動力學與逆向動力學模擬。為達到客製化的目標，招募一位成功大學棒球隊之右投手，並且嘗試透過動作捕捉系統得到受試者之投球數據。透過模擬軟體對於該受試者進行肌肉骨骼之重建，並且於模型當中加入驅動器元素，驅使骨骼能夠產生動作，並希望能透過以上步驟完成投球動作之重建，進而透過運算過得肌肉活化程度、上肢主要關節承受力以及動力學參數。透過模擬軟體的最佳化計算，本研究從投球動作的重建到完成各投球階段的肩部肌群活化程度模擬，並且透過與過去以肌電儀器測量的文獻進行比較，在活化趨勢上有一定程度吻合。唯考量到投球動作具有高度的個體差異性，加上過去並無文獻以相同軟體針對此投球動作時的肩部活化歷程的結果，肌肉活化的模擬需要透過更多受試者的動作模擬或者對此受試者進行肌電訊號的同步監測，才能更加提高及肉活化模擬的精準性。

The dominant side of human’s shoulder experienced muscle contribution extremely during baseball pitching. The goal of this study was to simulate the contribution and activation of the muscles which attached around the dominant shoulder during pitching. We implemented a static optimization (SO)-driven forward dynamic simulation that use a modified musculoskeletal model to reproduce a pitching motion recorded from a NCKU baseball pitcher. Fifteen Hill-type muscle-tendon actuators (MTA) were used to simulate the muscle activation during pitching. The result of simulation was compared to previous studies. Most of the activation patterns that MTA performed were close to the result which collected from previous EMG data. However, there are few of MTAs that present odd activation during specific pitching phase. Considering baseball pitching is a high variability movement, we suggest that it is needed to investigate the accuracy of this simulation framework in more detail by recruiting more subjects or using EMG facility simultaneously.

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