Abstract
This project studied several popular localization algorithms on iPhone and, according to the demands, specifically designed it to improve healthcare IT system in hospitals. The challenge of this project was to realize the different localization systems on iPhone and to make balance between its response time and localization accuracy. We implemented three popular localization algorithms, namely nearest neighbor (NN), K-nearest neighbor (KNN), and probability phase, and we compared their performance on iPhone. Furthermore, we also implemented a real-time localization system using the ZigBee technology on iPhone. Thus, the whole system could realize not only self-localization but also others-localization. To fulfill the healthcare needs, we developed an application, which can be used to improve the hospital IT, system. The whole project included three phases. The first phase was to localize iPhone’s position using the received WiFi signal by iPhone, compare and optimize their performances. During the second phase, we implemented a ZigBee RFID localization system and combined it with the WiFi system. Finally, we combined new features of the system with a healthcare IT system. We believe that this application on iPhone can be a useful and advanced application in hospitals.
Highlights
In healthcare industry, there is a trend to decrease the doctors’ workload using advanced IT technology
We implemented three popular localization algorithms, namely nearest neighbor (NN), K-nearest neighbor (KNN), and probability phase, and we compared their performance on iPhone
We implemented a real-time localization system using the ZigBee technology on iPhone
Summary
There is a trend to decrease the doctors’ workload using advanced IT technology. Many hospitals have used ecommerce, which will import patient cases into hospital system or even national health care system to help doctors to check patient history cases By connection with this system, we can simplify the process of ward round of doctor by our localization system. According to recent statistics of Midland psychiatric ward, more than 1000 mentally ill patients have escaped from the wards in the last three years, which is proved that tracking patient is a significant technology in hospitals This localization application can supply a function of indoor navigation to patients. GPS provides information of users’ location and time anywhere on earth This paper focuses on independent indoor localization system implemented on iPhone and performance comparison of different algorithms and its healthcare application.
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