Nguyen, QH, Johnson, P, Nguyen, TT and Randles, M (2019) A novel architecture using iBeacons for localization and tracking of people within healthcare environment. In: 2019 Global IoT Summit (GIoTS) . (Global IoT Summit, 17 June 2019 - 21 June 2019, Aarhus, Denmark).

Preview

Text PID5904447.pdf - Accepted Version Download (499kB) | Preview

Abstract

Internet of Things (IoT) can help healthcare facilities to transform the experience for both the staff and patients. IoT can facilitate novel solutions for a classic problem, which is the real-time tracking of patients and staff. In this work, an architecture for real-time tracking using Bluetooth Low Energy (BLE) and iBeacons in hospitals is proposed. The proposed system is to locate not only humans but also other facilities such as medicines. It consists of four different frameworks: server communication, user interaction, cross-platform communication and indoor localization. A wearable BLE-enabled device or any smartphone can be used in our system. The first stage of the tracking system is setting up and calibrating the BLE iBeacons for initialization. Then the Received Signal Strength is collected from the BLE-enabled devices carried by users. These data are analyzed and calculated using our improved Least Square Estimation approach to estimate the actual location of users. Experimental results show that in a crowded environment, our tracking system achieves resolutions of the order of 12cm. This will be further integrated with other sensors such as accelerometer or heart rate monitor to improve the real-time healthcare monitoring experience.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords:	IoT; Healthcare; Indoor localization; Bluetooth Low Energy; iBeacon
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science R Medicine > R Medicine (General) T Technology > T Technology (General)
Divisions:	Computer Science & Mathematics Electronics & Electrical Engineering (merged with Engineering 10 Aug 20) Maritime & Mechanical Engineering (merged with Engineering 10 Aug 20)
Publisher:	IEEE
Date Deposited:	24 Apr 2019 09:16
Last Modified:	12 Jun 2024 14:32
DOI or ID number:	10.1109/GIOTS.2019.8766368
URI:	https://researchonline.ljmu.ac.uk/id/eprint/10583

View Item