Open AccessFace identification using millimetre‐wave radar sensor data
Author(s) -
Kim J.,
Lee J.E.,
Lim H.S.,
Lee S.
Publication year - 2020
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2020.1822
Subject(s) - millimetre wave , radar , identification (biology) , computer science , remote sensing , face (sociological concept) , telecommunications , geology , physics , optics , social science , botany , sociology , biology
In this Letter, the authors propose a face identification method using radar sensor data. They use a frequency‐modulated continuous wave radar sensor that utilises a centre frequency of 61 GHz and a bandwidth of 6 GHz. Then, they accumulate radar data by transmitting and receiving radar signals on human faces. Finally, they use a convolutional neural network (CNN) to distinguish radar signals reflected from different human faces. In this network, signals received from multiple antenna elements are synthesised in parallel to make the radar signals into an image that is the input form of the CNN. The accuracy of face recognition through the CNN is > 98 % . In addition, they also collect radar data when the same subjects wear cotton masks. Within their entire dataset, wearing a mask does not significantly affect the accuracy of the radar‐based face recognition method.