本論文開發了一套可即時辨識動作姿態的演算法並將演算法放入一可穿戴式裝置內執行。使用的裝置以MSP430單晶片為核心，三軸加速度計ADXL345為感測元件，動作姿態辨識結果經由藍牙4.0傳送到電腦端的接收器。本論文開發的動作姿態判斷演算法可以辨識躺、趴、站、走和跑五種動作狀態。在人體測試實驗中，共有18人參與實驗，實驗結果顯示此方法可即時判斷出各種動作姿態並具有相當高的準確度。

In this study, we developed a real time posture recognition algorithm which is embedded on a wearable device. The device contains a MSP430 microprocessor and a tri-axial accelerometer ADXL345. The result of the recognition, contains lie downward, lie upward, standing, walking, running, is transmitted to PC via Bluetooth 4.0. There are 18 subjects participate to the experiment. The results demonstrate the high accuracy of the real time posture recognition algorithm.

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