A Comparative Study on Human Movement Classification Using Wi-Fi Based Passive Forward Scattering Radar

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...

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Bibliographic Details
Published in:TEM Journal 2023-08, Vol.12 (3), p.1330-1341
Main Authors: Farhan Nasarudin, Muhammad Nazrin, Razali, Hidayatusherlina, Ismail, Nor Najwa, Zalina Zakaria, Nor Ayu, Megat Ali, Megat Syahirul Amin, Alnaeb, Ali
Format: Article
Language:English
Subjects:
Algorithms
Antennas
Artificial intelligence
Artificial neural networks
Classification
Comparative studies
Deep learning
Design
Electronic information storage and retrieval
Forward scattering
Frequency spectrum
Human motion
Information Architecture
Medical equipment
Neural networks
Radar
Radiation effects
Receivers & amplifiers
Research methodology
Sensors
Topology
Transmitters
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Summary: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.
ISSN:2217-8309
2217-8333
DOI:10.18421/TEM123-13