Abstract: A radar apparatus comprises: a processor; a radar; and a non-transitory memory storing instructions that, when executed by the processor, configure the apparatus to perform a method. The method comprises: emitting a radar signal with the radar; receiving backscattered radar signals with the radar; extracting reflection data from the backscattered radar signal; determining at least one vital sign of at least one person from the extracted reflection data; and identifying the at least one person by using a first machine learning model to provide a similarity score between the determined at least one vital sign and at least one vital sign from previously collected vital signs of the at least one person.

Abstract: A contactless method for monitoring photoplethysmography in a human comprises illuminating the human with radiofrequency energy from a transmitter without contacting the patient with the transmitter, sensing the radiofrequency energy reflected back from the human with at least one antenna, and using an artificial neural network to generate a photoplethysmography waveform based on the reflected energy.