近年來，隨著醫療科技的進步，居家看護成為一項重要的議題。在台灣，因為生育率逐年降低，但人們的壽命逐漸延長，使得人口結構趨於老化、社會醫療成本增加，進而加重青壯年人口的負擔，爲了降低社會醫療成本，並提供更好的醫療服務，因此，本論文將實現一套創新的居家看護系統，在不影響生活的前提下，透過無線感測網路(Wireless Sensor Networks, WSNs)觀測年長人士日常生活的動作，同時結合角速度感測器(Gyroscope)與加速度感測器(Accelerometer)以及卡爾曼濾波器 (Kalman Filter)，達到即時看護的效果。本碩士論文透過多位各種體型的人員針對本系統進行測試，每位測試人員分別重複執行日常行為(例如:行走、跑步、坐下、跌倒等)，結果呈現整體偵測準確率超過百分之九十。

In the past few decades, there was a major increment in the population of elders because of the aging of the baby boomer generation. Ambulatory system presents a sound solution for better medical services to elders and relieves the burden on social medical expenses. The recent advancement in wireless sensor network makes remote monitoring of individual's daily activities become feasible. In this thesis, a prototyped ambulatory monitoring system with posture detection for elderly people is developed and presented. In the proposed system, the inertial measurement unit (IMU) using the state of art MEMS technology containing accelerometer and gyroscope sensors real time processed with a Kalman filter to obtain subject’s behaviors. Experiments involving several subjects were carried out and the results indicate an overall accuracy of 90% for a variety of movements associated with normal daily activities.

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