COMPUTING RESEARCH HIGHLIGHT OF THE WEEK [March 16-23, 2012]
Lie To This
Researchers at the University at Buffalo, The State University of New York, have developed software that claims to be able to analyze eye movement successfully to identify whether or not a subject is lying to it - with 82.5 percent accuracy. The researchers, presented their results at the 2011 IEEE International Conference on Automatic Face and Gesture Recognition a year ago.
They believe they have laid the foundation for a more extensive study that will include a larger sample and take into account body language in addition to eye movement to determine whether new technologies can help interrogators in their search for the truth.
In future work, the Buffalo researchers plan to take a more holistic view of behavioral cues. "We know that the eyes give signals that lead to deception, but what about general body movements?" says Ifeoma Nwogu, study co-author and a research assistant professor in U.B.'s Center for Unified Biometrics and Sensors. Faster algorithms would also enable the software to flag behavioral deviations in near real-time, she adds. They also want to expand the sample size; the 40-person study is too small to be statistically significant.
Full Article...
Researchers:
Mark G. Frank (University at Buffalo, The State University of New York)
Ifeoma Nwogu (University at Buffalo, The State University of New York)
‹ Current Highlight | Past Highlights ›
Computing Research Highlight of the Week is a service of the Computing Community Consortium and the Computing Research Association designed to highlight some of the exciting and important recent research results in the computing fields. Each week a new highlight is chosen by CRA and CCC staff and volunteers from submissions from the computing community. Want your research featured? Submit it!.
