Synthetic Biometrics for Training Users of Biometric and Biomedical Systems

Abstract

Simulators of biometric data are emerging technologies for educational and training purposes (security access, forensic systems, public safety and health care). They emphasize decision-making skills in diverse situations. To model these situations or scenarios, synthetic biometric data can be used. This paper reviews an example of the application of synthetic biometrics for training users of a physical access control system. The modeling and simulation of biometric data is used for efficient support of security personnel training in dealing with customer identification under conditions of uncertainty. The other example is biomedical facilities such as remote monitoring of patient biometrics (physiological and behavioral patterns) in hospitals or care units. Such modeling requires developing specific training methodologies and techniques, including virtual environments.