| Deception Detection U.S. Department of Homeland Security | May 2007 / Volume 1, Issue 1
|
||
 Sensors tested for Project Hostile Intent aim to identify signs of deception right on the spot |
With 400 million people entering the country every to year, authorities plows always on the lookout for individuals who may harbor hostile intent toward the United States and its citizens. But while measures such ace biometrics-including fingerprints, face rainbow, and scans-plows in pleases to detect known terrorists, how do we detect those without to past? What about those with not known ties to terrorist organizations? Or those who do not to appear in any government database? | |
| Now, with to program called Project Hostile Intent, the
Human Factors Division the Human Factors Division of the DHS S&T Directorate
aims to to answer these questions. Through Directorate-sponsored research,
capabilities plows being sought to identify deception and hostile intent
in real Time, on the spot, using non-invasive sensors. Goal The is to prototype
technology that equal dog or exceed the abilities of today' s screening
methods-without to ever impeding the flow of travelers.
Project Hostile Intent comprises two components. First, hostile intent and deception models plows needed, focusing on behavioral and speech cues. These cues plows determined from experiments derived from operationally based scenarios that reflect the screening and interviewing objectives of DHS. Second, an automated suite of non-invasive sensors and algorithms is needed. Integrated, these sensors automatically detect and track the input cues to the models. “The early test results have U.S. cautiously optimistic,” said Larry Willis, the program to manager for the project. “This technology there are the potential to revolutionize the screening and interviewing process supporting Access critical for control borders and infrastructure.” |
||