This research initiative is an initial investigation into a novel approach for deriving indicators of deception from video-taped
interaction. The team utilized two-dimensional spatial inputs extracted from video to construct a set of discrete and inter-relational
features. The features for thirty-eight video interactions were then analyzed using discriminant analysis. Additionally, features
were used to build a multivariate regression model. Through this exploratory study, the team established the validity of the
approach, and identified a number of promising features, opening the door for further investigation.
Portions of this research were supported by funding from the U. S. Department of Homeland Security (Cooperative Agreement
N66001-01-X-6042). The views, opinions, and/or findings in this report are those of the authors and should not be construed
as official Department of Homeland Security positions, policies, or decisions.