FELIPE GOMEZ

Person verification method based on behavioral patterns from complex human movements. Behavioral patterns are represented by anthropometric and kinematic features of human body motion acquired by a Kinect RGBD sensor. Focus on complex movements to demonstrate that independent and rhythmic movement of body parts carries a significant amount of behavioral information. Statistical approach by Gaussian mixture models to model the individual behavioral patterns. Demonstrated that subject-preferred movements are more robust against forgery attacks and variations over time than predetermined subject-independent movements.