New Physiological Biometrics Based on Human Cognitive Factors

Modeling and quantifying different human factors continue to be one of the major challenges in introducing new biometric systems. For example, drivers of some of our behavior differences are still mysteries, and hence cannot be modeled.In this paper, we propose a novel biometric system; it introduces the visual search and short-term memory human factors to the world of biometrics. This homogeneous system uses only the standard mouse as an input sensor for the two biometric factors. Experimental evaluation was performed using mass enrollment of 275 participants, and Neural Network for classification. Results showed an Equal Error Rate (EER) of 3.88%.