現代經濟科技的快速發展改善了人們的生活，但於此同時人們也面臨高齡化社會的照護問題，這篇論文提出一個結合RFID(Radio Frequency Identification)定位技術與行動裝置平台的健康照護系統以達到改善健康照護的目標，系統利用智慧型手機與手環的便利性，讓使用這可以更便利的紀錄日常的與運動狀態，系統中包含身理狀況模組、即時定位模組、多數據評估模組及飲食控管模組，將會統整智慧型裝置蒐集的資訊並根據使用者的生理狀況給予專業的健康照護建議。
RFID是目前實際應用最成熟的定位技術之一，其具有高速動態且大量讀取的特性可以記錄大量的運動資訊，讓使用者可以透過網際網路即時記錄並查看健康照護建議，系統可透過定位技術大量的記錄使用者過去的運動習慣，使用戶可以了解自己的運動情形是否有需要改善的地方，在即時定位模組中，可以透過RFID的定位技術偵測老年人是否有跌倒等突發狀況，並即時通知照護人員，預防意外的發生；多數據評估模組可以讓使用者了解他們飲食與運動習慣是否有需要改善的地方，並更進一步獲得相關的飲食運動改善資訊。

The transformation of economy and technology improve people’s life. People live much more longer. But at the same time, people have to face the problem of aging population. This research is about a healthcare system that combine RFID (Radio Frequency Identification) positioning and mobile platform to achieve the goal of healthcare improvement. With the convenience of mobile phones and smart bracelet, users could easily record the exercise process dietary contents, nutrient, and dietary contents and user physiological information will be provided suggestions of nutrient allowance, according to the past dietary habits and exercise records. The system contains body situation module, real-time location monitoring, multi data evaluation module and diet module, could actively offer suggestions according to the users’ basic information, including age, gender, favorite types of food, and amount of exercise alert when necessary.
The RFID technology has become one of the most developed technologies of localization. With the characteristics of high-speed dynamic reading, simultaneous reading of multiple RFID Tag, large capacity of data can be imported into the Reader. User can access to the Internet with smart phones without being restricted to time and places. Meanwhile, the system could record the amount of exercise and rapidly inquire the past exercise records for the reference of self-inspection. In the real-time location monitoring module, the system will locate where the elderly is, and if unexpected situation happens, the system will alert the caregivers. Through the multi data evaluation module, users could understand whether their diet and exercise conform to the healthy demands from daily health records and further learn to select suitable food and improve their exercise habits.

Chapter I Introduction 1
Section I Research Background 1
Section II Research Motivation 2
Section III Research Objective 3
Section IV Brief Review of Methods 4
Chapter II Literature Review 8
Section I RFID Positioning System for Medical Health Care 8
Section II Use Mobile Services to Track Immediate Physiological Information 11
Section III Application of Mobile Devices Combined with Medical Care Field 12
Chapter III Research Methodology 16
Section I System Architecture 16
Section II System Features 17
Section III RFID Location Positioning Method 18
Section IV System Security 22
Chapter IV System Implementation 26
Section I RFID Targeting Experiment 26
Section II Health Care System Architecture 27
Section III Implementation of the System 29
CHAPTER V Conclusion 36
REFERANCE 38

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