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.
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Yanushkevich, S.N., Boulanov, O., Stoica, A., Shmerko, V.P. (2008). Support of Interviewing Techniques in Physical Access Control Systems. In: Srihari, S.N., Franke, K. (eds) Computational Forensics. IWCF 2008. Lecture Notes in Computer Science, vol 5158. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85303-9_14
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DOI: https://doi.org/10.1007/978-3-540-85303-9_14
Publisher Name: Springer, Berlin, Heidelberg
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