Investigation of Millimetre Wave Scattering Mechanism for Human Postures and Gaits Sensing


Jamaldin, Juliana and Chua, Ming Yam and Lim, Heng Siong (2021) Investigation of Millimetre Wave Scattering Mechanism for Human Postures and Gaits Sensing. In: 2nd FET PG Engineering Colloquium Proceedings 2021, 1-15 Dec. 2021, Online Conference. (Unpublished)

[img] Text
20 Juliana Jamaldin_abstract.pdf
Restricted to Repository staff only

Download (14kB)


Scholars have been proposing various approaches to recognize human being postures and movements using radars as an alternative to the traditional vision-based and sensor-based methods in order to eliminate the limitations introduced by the two methods. In most studies, radar Doppler signatures of a single moving subject was measured and analysed and, in some others, the Doppler signatures were used together with deep learning algorithm techniques to estimate the postures or the movements. However, approaches using Doppler signatures are only useful to recognize moving objects and the black-box nature of deep learning approaches provides little understanding on how the radar signals are being reflected by the human being in different postures and movements. In this research, an investigation of millimetre wave (mmWave) scattering mechanism for human postures and gaits sensing through simulation and measurement is proposed to identify and quantify the scattered mmWave and therefore to understand the difference of the scattered mmWave properties for different human body postures. The study will be conducted in 5 stages which simulation and actual measurement of the Radar Cross Section (RCS) of a human body in different postures are conducted in the second and the third stage. To simulate the RCS, 3D Human Body Models (HBM) are created to represent the 50th and 95th percentiles of young males. It was hoped that by analysing both simulation and measurement results, the outcomes of this research proposal are expected to incite new development of practically useful method to recognize human postures that can be used in monitoring the wellness of human being, for either personal healthcare or smart home applications.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Millimeter wave, scattering, radar cross section, human postures
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 28 Jan 2022 01:25
Last Modified: 28 Jan 2022 01:25


Downloads per month over past year

View ItemEdit (login required)