https://scholars.lib.ntu.edu.tw/handle/123456789/484365| Title: | A mobile indoor positioning system based on iBeacon technology | Authors: | Lin, X.-Y. Ho, T.-W. Fang, C.-C. Yen, Z.-S. Yang, B.-J. Lai, F. FEI-PEI LAI |
Issue Date: | 2015 | Journal Volume: | 2015-November | Start page/Pages: | 4970-4973 | Source: | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS | Abstract: | To increase the efficiency in the emergency room, the goal of this research is to implement a mobile-based indoor positioning system using mobile applications (APP) with the iBeacon solution based on the Bluetooth Low Energy (BLE) technology. We use the Received Signal Strength (RSS) based localization method to estimate the patients' locations. Our positioning algorithm achieves 97.22% (95% Confidence Interval = 95.90% - 98.55%) accuracy of classification. As the result, our mechanism is reliable enough to satisfy the need for medical staff to track the locations of their patients. ? 2015 IEEE. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/484365 | DOI: | 10.1109/EMBC.2015.7319507 | metadata.dc.subject.other: | algorithm; confidence interval; emergency health service; human; mobile application; organization and management; wireless communication; Algorithms; Confidence Intervals; Emergency Service, Hospital; Humans; Mobile Applications; Wireless Technology [SDGs]SDG3 |
| Appears in Collections: | 生醫電子與資訊學研究所 |
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