Publication Details
Biometric Intelligence in Authentication Machines: From Talking Faces to Talking Robots
Shmerko Vlad. P. (UCalgary)
Yanushkevich Svetlana, Dr. (UCalgary)
Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. (DITS FIT BUT)
e-passport, biometrics, profiling, risks
Biometric-based intelligence in Automated Border Control (ABC) applications concerns the problem of balancing human and machine functions in border crossing technologies. The focus of this paper is intelligent human-machine interfacing of behavior biometrics which seems will play important role in future generation of ABC systems. Various pilot ABC projects uses the "talking face" technology. We suggest further improvement based on "talking robot" technology: while interviewing the traveler, a humanoid robot recognizes faces and expressions, verifies the e-passports and the traveler (using his/her biometrics), operates with a watchlist (database), generates cognitive questions and analyzed answers, detects features of plastic surgery in infrared band, measures temperature and blood pressure. Various part of such technology have been implemented, and the feasibility of assembling such multi-functional system in the form of a robot is to be studied and understood.
@INPROCEEDINGS{FITPUB10639, author = "C. Shawn Eastwood and P. Vlad. Shmerko and Svetlana Yanushkevich and Martin Drahansk\'{y}", title = "Biometric Intelligence in Authentication Machines: From Talking Faces to Talking Robots", pages = "763--768", booktitle = "Proceedings of IIAI 3rd International Conference on Advanced Applied Informatics", year = 2014, location = "Kitakyushu, JP", publisher = "IEEE Computer Society", ISBN = "978-1-4799-4174-2", doi = "10.1109/IIAI-AAI.2014.154", language = "english", url = "https://www.fit.vut.cz/research/publication/10639" }