It seems that terrorism is going to get more and more difficult - in part thanks to new automated systems in development at the University of Buffalo.

These systems would use a wide range of biometric identifiers including facial, voice and gait in order to determine the likelihood that a given person is about to commit an act of terrorism.

“The goal is to identify the perpetrator in a security setting before he or she has the chance to carry out the attack,” said Venu Govindaraju, Ph.D., professor of computer science and engineering in the UB School of Engineering and Applied Sciences. Govindaraju is co-principal investigator on the project with Mark G. Frank, Ph.D., associate professor of communication in the UB College of Arts and Sciences.

The project, recently awarded an $800,000 grant by the National Science Foundation, will focus on developing in real-time an accurate baseline of indicators specific to an individual during extensive interrogations while also providing real-time clues during faster, routine security screenings.

“We are developing a prototype that examines a video in a number of different security settings, automatically producing a single, integrated score of malfeasance likelihood,” he said.

Source