Face identification using millimeter-wave radar sensor data

A system to identify faces of subjects, comprising:

• at least one transmitting antenna to transmit a radar signal onto faces of subjects;
• a plurality of receiving antenna elements to receive and accumulate reflected radar data;
• and
• a digital signal processor to convert the reflected radar data into an image form as an input to a convolutional neural network,
• the digital signal processor to perform the facial identification on the image form using a classifier trained by the convolutional neural network,
• wherein the convolutional neural network comprises:
• a first number of convolutional layers, and
• wherein the first number is determined by a number of the faces of the subjects to identify.

A non-transitory computer-readable storage medium storing a computer program to identify faces of subjects, the computer program comprising executable instructions that cause a computer to:

• command transmission of a radar signal onto faces of subjects using a millimeter wave radar sensor;
• receive and accumulate reflected radar data, wherein the reflected radar data is received from channels of multiple receiving antennas;
• convert the reflected radar data into an image form as an input to a convolutional neural network;
• and
• perform facial identification on the image form using a classifier trained by the convolutional neural network,
• wherein the convolutional neural network comprises:
• a first number of convolutional layer, and
• wherein the first number is determined by a number of the faces of the subjects to identify.