Vol.12, No.3, August 2023.                                                                                                                                                                               ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

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


Muhammad Nazrin Farhan Nasarudin, Hidayatusherlina Razali, Nor Najwa Ismail, Nor Ayu Zalina Zakaria, Ali Alnaeb, Megat Syahirul Amin Megat Ali, Nur Emileen Abdul Rashid


© 2023 Megat Syahirul Amin Megat Ali , published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 12, Issue 3, Pages 1330-1341, ISSN 2217-8309, DOI: 10.18421/TEM123-13, August 2023.


Received: 17 April 2023.

Revised:   21 July 2023.
Accepted: 26 July 2023.
Published: 28 August 2023.




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.


Keywords –Wi-Fi, forward scattering radar, human movement, enveloping, artificial neural network.



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