近來，當微機電發展日益成熟，商業化的瓶頸逐步被克服後，微機電元件已被廣泛應用於一般工業、電子資訊、車用、生物醫療及數位家庭娛樂等領域。而現今普為人知的遊戲機，透過微機電運動感測器（3軸加速規）對動作的感測能力，將遊戲的玩法帶入全新的領域。而本論文旨在使用微機電型式之磁力計與加速規之硬體架構為基礎，以探討行人動作為主要目的，針對不同人及不同動作行為模式，如：站立、走路、爬樓梯、搭電梯等，蒐集磁力與加速度量測量，建立演算法則，進行訓練，找出不同動作對應之模型，用以判斷辨識行人目前的行為狀況，以期日後可應用於人體動作辨識、行人導航與醫療看護等相關領域。

Recently, significant advances have been made in the field of MEMS（Micro Electro Mechanical System）. MEMS devices have been applied widely in many fields, such as industrial automation, electronics vehicle, biomedical, digital home entertainments, and so on. In particular, a noted video game console has adopted MEMS motion sensors（triaxial accelerometer）to detect human motion and provide experiment in game play. In the thesis, a low-cost magnetometer/accelerometer is used to recognize pedestrian motions. The sensor data are collected and processed to classify different kinds of human activities. It is expected that the design approach can be applied in human activities recognition, pedestrian navigation, and medical care.

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