Methods and systems for fraud detection using relative movement of facial features

A computerized method of detecting fraud during identity verification, the method comprising:

• capturing, using an image capture device of a mobile computing device, video comprising a plurality of frames of a person's face;
• transmitting, by the mobile computing device, the plurality of frames to a server computing device;
• detecting, by the server computing device, a location of one or more facial features of the person's face in each of the plurality of frames, wherein the facial features comprise rigid facial features and non-rigid facial features;
• generating, by the server computing device, a plurality of time-series signals based upon a position measurement for the facial features in each of the plurality of frames;
• extracting, by the server computing device, one or more classification features from the plurality of time-series signals;
• and
• applying, by the server computing device, a trained machine learning classification model to the extracted classification features to generate a fraud detection decision for the plurality of frames.