Khan, M. Z., Farooq, M. , Taha, A. , Ramazan, N., Imran, M. A. and Abbasi, Q. H. (2022) Localization Using Wireless Sensing for Future Healthcare. In: ICECS 2022: 29th IEEE International Conference on Electronics, Circuits & Systems, Glasgow, UK, 24-26 October 2022, ISBN 9781665488235 (doi: 10.1109/ICECS202256217.2022.9971116)
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Abstract
Human activity detection in indoor environments is an attractive research field that can assist the elderly and disabled live independently. To detect human activity, various technologies have been proposed, including the use of sensors, cameras, wear-ables, and contactless radio frequency (RF). With applications in localization, smart homes, retail, gesture recognition, intrusion detection, etc., RF sensing has the potential to become a universal sensing mechanism due to the omnipresent of electromagnetic signals. Recently, there has been a lot of interest in RF sensing's ability to solve the discomfort of wearables and the privacy concerns with cameras using Channel State Information (CSI). This study reports the findings of an experiment to locate activity in an indoor environment utilising Universal Software-Defined Radio Peripherals (USRP) devices. A single subject is observed while performing seven distinct activities. Additional CSI is also collected while the monitored area is empty for further comparison. Machine learning and deep learning techniques are used to classify data more accurately, and convolutional neural network (CNN) has a 97.43% accuracy when it to locating seven distinct activities.
| Item Type: | Conference Proceedings |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Taha, Dr Ahmad and Khan, Muhammad Zakir and Farooq, Muhammad and Imran, Professor Muhammad and Abbasi, Professor Qammer |
| Authors: | Khan, M. Z., Farooq, M., Taha, A., Ramazan, N., Imran, M. A., and Abbasi, Q. H. |
| College/School: | College of Science and Engineering > School of Engineering College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering |
| ISBN: | 9781665488235 |
| Published Online: | 12 December 2022 |
| Copyright Holders: | Copyright © 2022 IEEE |
| First Published: | First published in ICECS 2022: 29th IEEE International Conference on Electronics, Circuits & Systems |
| Publisher Policy: | Reproduced in accordance with the publisher copyright policy |
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