台灣每年的職業災害案例卻逐漸上升，其中有關不當動作導致職災比例也逐年升高，因此發展一套快速動作分析風險評估系統能為讓勞工們降低因為不當動作導致的肌肉骨骼傷害，而本研究透過光學影像擷取系統（Optitrack Motion Capture System, OMCS）和穿戴式動作捕捉系統（Xsens）設計了三組實驗，分別是基礎動作實驗、抬舉作業實驗和前推作業實驗，將OMCS收集到的座標資料分為連續型的角度和離散型的RULA分數輸入到演算法中進行學習建模，在把Xsens的資料透過此模型得到預測值跟實際值做比較，雖然有些誤差以呈現學習失效的結果，但還是有很多結果是在可接受範圍甚至是表現非常優異的，本研究透過演算法結合Xsens和OMCS這兩種系統是能建立出一套快速動作分析系統的。

Cases of occupational injury are increasing in recent years in Taiwan, and proportion of bad postures of occupational injury increase simultaneously. Therefore developing a rapid motion analyze and risk assessment system can mitigate WMSDs from bad postures of workers. This study designed basic movement, lifting work and pushing work three types of experiments by adopting both OMCS and Xsens. This study transformed data of OMCS into two types, continuous data and discrete data, getting predicted values by inputting both types of data in classification algorithm to comparing with actual value. Though there are a little unacceptable errors, however, some of the results performed very well. According to those better results, combining Xsens, OMCS and classification algorithm can build a rapid motion analyze system indeed.

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