Privacy-preserving non-wearable occupancy monitoring system exploiting Wi-Fi imaging for next-generation body centric communication

Shah, S. A. , Ahmad, J., Tahir, A., Ahmed, F., Russel, G., Shah, S. Y., Buchanan, W. and Abbasi, Q. H. (2020) Privacy-preserving non-wearable occupancy monitoring system exploiting Wi-Fi imaging for next-generation body centric communication. Micromachines, 11(4), 379. (doi: 10.3390/mi11040379)

Abstract

Nano-scaled structures, wireless sensing, wearable devices, and wireless communications systems are anticipated to support the development of new next-generation technologies in the near future. Exponential rise in future Radio-Frequency (RF) sensing systems have demonstrated its applications in areas such as wearable consumer electronics, remote healthcare monitoring, wireless implants, and smart buildings. In this paper, we propose a novel, non-wearable, device-free, privacy-preserving Wi-Fi imaging-based occupancy detection system for future smart buildings. The proposed system is developed using off-the-shelf non-wearable devices such as Wi-Fi router, network interface card, and an omnidirectional antenna for future body centric communication. The core idea is to detect presence of person along its activities of daily living without deploying a device on person’s body. The Wi-Fi signals received using non-wearable devices are converted into time–frequency scalograms. The occupancy is detected by classifying the scalogram images using an auto-encoder neural network. In addition to occupancy detection, the deep neural network also identifies the activity performed by the occupant. Moreover, a novel encryption algorithm using Chirikov and Intertwining map-based is also proposed to encrypt the scalogram images. This feature enables secure storage of scalogram images in a database for future analysis. The classification accuracy of the proposed scheme is 91.1%.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Abbasi, Professor Qammer and Shah, Mr Syed

Creator Roles

Shah, S. A.: Formal analysis
Abbasi, Q. H.: Methodology

• Authors: Shah, S. A., Ahmad, J., Tahir, A., Ahmed, F., Russel, G., Shah, S. Y., Buchanan, W., and Abbasi, Q. H.
• College/School: College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering; College of Science and Engineering > School of Engineering > Systems Power and Energy
• Journal Name: Micromachines
• Publisher: MDPI
• ISSN: 2072-666X
• ISSN (Online): 2072-666X
• Published Online: 03 April 2020
• Copyright Holders: Copyright © 2020 The Authors
• First Published: First published in Micromachines 11(4): 379
• Publisher Policy: Reproduced under a Creative Commons License