Abstract: Liveness detection includes systems, devices, methods, and non-transitory instructions for detecting liveness of a subject from a media stream, including capturing a media stream of the subject, the media stream including a sequence of frames, processing each frame of the media stream to track one or more biometrics, and determining whether the subject in the media stream is live based on the one or more biometrics detected in the media steam.

Abstract: Systems, devices, methods, and non-transitory computer-readable instructions for non-contrastive unsupervised learning of a physiological signal from a video stream, the computer-implemented method including capturing the video stream of a subject, the video stream including a sequence of frames; processing each frame of the video stream to update a physiological signal detection function; determining the physiological signal from the video stream, and applying the updated physiological signal detection function to a subsequent video steam.

Abstract: Systems, devices, methods, and non-transitory computer-readable instructions for detecting deception of a subject from a media stream that capture a media stream of the subject including, the media stream including a sequence of frames, process each frame of the media stream to track a plurality of biometrics, and determine whether the subject in the media stream is deceptive based upon changes to respective biometrics.