Multi-Sensor Based IoT Indoor Localization

Tan, D. H. A., Seow, C. K. and Wen, K. (2022) Multi-Sensor Based IoT Indoor Localization. In: 2021 IEEE International Conference on Networking, Sensing and Control (ICNSC), Xiamen, China, 3-5 December 2021, ISBN 9781665440486 (doi: 10.1109/ICNSC52481.2021.9702235)

Abstract

A typical indoor localization system relies on the availability of infrastructure such as Wi-Fi Access Points, blue-tooth beacons or antenna arrays. This increases the overall system cost and it may not be feasible for deployment in real environments such as shopping malls. A practical indoor localization system should be one that can function with mini-mum existing infrastructure. The proposed system in this paper leverages on the embedded sensors in off-the-shelf Internet of Things (IoT) devices such as smartphone in conjunction with Quick Response (QR) codes which are widely deployed under the authorities requirement due to COVID-19 pandemic. Our proposed stationary inertial measurement unit (IMU) feature is implemented through a first order finite impulse response (FIR) filter that works along with the QR codes. It has successfully reduced the drift errors suffered by IMU. The performance was evaluated in the testing environment at an university campus. From the evaluation results, the proposed method outperformed the conventional method (IMU only) and hybrid model (IMU + QR code) by 94.9% and 57.7% respectively, making the proposed method a promising technique that can be readily applied to other indoor environments.

• Item Type: Conference Proceedings
• Keywords: inertial measurement unit (IMU), Quick Response (QR) code, finite impulse response (FIR) filter, indoor localization and navigation, Internet of Things (IoT).
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Seow, Dr Chee Kiat
• Authors: Tan, D. H. A., Seow, C. K., and Wen, K.
• Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science; T Technology > T Technology (General)
• College/School: College of Science and Engineering > School of Computing Science
• Research Centre: College of Science and Engineering > School of Computing Science > IDA Section
• ISBN: 9781665440486
• Published Online: 10 February 2022
• Copyright Holders: Copyright © 2022 IEEE
• First Published: First published in Proceedings of 2021 IEEE International Conference on Networking, Sensing and Control (ICNSC)
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher