LoRa-based Privacy-Aware and Contactless Surveillance in Next-generation Smart Homes

Farooq, M. , Qayyum, A., Ge, Y., Khan, M. Z., Taha, A. , Imran, M. A. , Abbasi, Q. H. and Abbas, H. T. (2023) LoRa-based Privacy-Aware and Contactless Surveillance in Next-generation Smart Homes. In: 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Portland, Oregon, USA, 23–28 July 2023, pp. 1751-1752. ISBN 9781665442282 (doi: 10.1109/USNC-URSI52151.2023.10238314)

Abstract

There are many security and surveillance applications in which camera-based or invasive human activity recognition is not permissible due to privacy, insecurity, and discomfort issues. Moreover, vision-based surveillance systems have a few key technical challenges that limit their practicality such as bad illumination, obstacles, and occlusion. In such cases, we require a more reliable system which can work in challenging situations such as in darkness, long-range, through walls or obstacles, a rainy and smoky environment where vision-based systems do not deliver good results. Only high-energy and long-range wireless sensors which can identify targets through obstacles, walls, worst climate or surrounding conditions can serve the purpose. In this paper, we propose to use the LoRa transceiver to identify different persons from their walking patterns through bricks and a concrete wall where people other than the target person are moving freely. Moreover, we employed three different deep-learning models to evaluate the efficacy of the proposed system. Our highly accurate 99% results encourage the use of contactless LoRa sensors in many privacy-critical applications such as healthcare, security, and surveillance, where short-range and low-energy signals have limited utilisation.

• Item Type: Conference Proceedings
• Additional Information: This work is supported in parts by EPSRC grant no. EP/T021020/1 and EP/T021063/1.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Taha, Dr Ahmad and Ge, Yao and Abbas, Dr Hasan and Abbasi, Professor Qammer and Khan, Muhammad Zakir and Farooq, Muhammad and Imran, Professor Muhammad and Qayyum, Adnan
• Authors: Farooq, M., Qayyum, A., Ge, Y., Khan, M. Z., Taha, A., Imran, M. A., Abbasi, Q. H., and Abbas, H. T.
• College/School: College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity; College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
• ISSN: 1947-1491
• ISBN: 9781665442282
• Published Online: 07 September 2023
• Copyright Holders: Copyright © 2023 IEEE
• First Published: First published in 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting: 1751-1752
• Publisher Policy: Reproduced in accordance with the publisher copyright policy

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• Organisation

Project Code	Award No	Project Name	Principal Investigator	Funder's Name	Funder Ref	Lead Dept
307829		Quantum-Inspired Imaging for Remote Monitoring of Health & Disease in Community Healthcare	Jonathan Cooper	Engineering and Physical Sciences Research Council (EPSRC)	EP/T021020/1	ENG - Biomedical Engineering