A Comparative Study on Human Movement Classification Using Wi-Fi Based Passive Forward Scattering Radar
A Comparative Study on Human Movement Classification Using Wi-Fi Based Passive Forward Scattering Radar
Author(s): Muhammad Nazrin Farhan Nasarudin, Hidayatusherlina Razali, Nor Najwa Ismail, Nor Ayu Zalina Zakaria, Megat Syahirul Amin Megat Ali, Ali AlnaebSubject(s): Information Architecture, Electronic information storage and retrieval
Published by: UIKTEN - Association for Information Communication Technology Education and Science
Keywords: Wi-Fi; forward scattering radar; human movement; enveloping; artificial neural network
Summary/Abstract: Forward scattering radar has been widely used to classify human movements. To reduce concern of prolonged radiation exposure, Wi-Fi based passive scattering radar with bistatic topology is proposed. The movements include walking, bending, sitting, and kneeling. The enveloping algorithm applied to Wi-Fi based passive forward scattering radar signals has produced a comparable pattern to the ones from the active configuration. The features extracted from the frequency spectrum are also similar for both radar topologies. These led to comparable performance when classifying using artificial neural network. Hence, Wi-Fi can effectively reduce the cost of radar sensors.
Journal: TEM Journal
- Issue Year: 12/2023
- Issue No: 3
- Page Range: 1330-1341
- Page Count: 12
- Language: English
