Support of Interviewing Techniques in Physical Access Control Systems

Authors:
Svetlana N. Yanushkevich;Oleg Boulanov;Adrian Stoica;Vlad P. Shmerko
Affiliations:
Biometric Technology Laboratory, University of Calgary, Canada;Biometric Technology Laboratory, University of Calgary, Canada;Humanoid Robotics Laboratory, California Institute of Technology, Jet Propulsion Laboratory, NASA, Pasadena, U.S.A.;Biometric Technology Laboratory, University of Calgary, Canada
Venue:
IWCF '08 Proceedings of the 2nd international workshop on Computational Forensics
Year:
2008

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Abstract

This paper investigates the enhancing of the decision-making support in the physical access control systems through deployment of the interviewing techniques widely used in forensics. While most of the physiological and behavioral information contents of the interviewee's responses can only be detected by the well-trained interviewer and supported by special devices such as lie detector, this approach is not feasible in the application such as physical access control. An alternative is the surveillance devices and biometric sensors for non-invasive registration of biometric data. In this paper, we focus on extracting the physiological and behavioral information from the video and infrared facial images. Our experiments show that the interviewing and interrogation techniques armored using the biometric assistant devices, can be employed to support the user's decision-making.