iPhone Independent Real Time Localization System Research and Its Healthcare Application

Xintong Lu, Wei Liu, Yongliang Guan

EEE, Nanyang Technological University, Singapore City, Singapore.
Singapore Institute of Manufacturing Technology, Singapore City, Singapore.

DOI: 10.4236/ait.2013.34008                

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.

Keywords

iPhone; RTLS; WiFi; Healthcare

Conflicts of Interest

The authors declare no conflicts of interest.

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