DOI: 10.18421/tem123-13 ISSN:

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
  • Management of Technology and Innovation
  • Information Systems and Management
  • Strategy and Management
  • Education
  • Information Systems
  • Computer Science (miscellaneous)
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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.

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