Face identification using millimetre-wave radar sensor data

Abstract

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.