Abstract
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.
Original language | English (US) |
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Pages (from-to) | 198-208 |
Number of pages | 11 |
Journal | LECTURE NOTES IN COMPUTER SCIENCE |
Volume | 3495 |
DOIs | |
State | Published - 2005 |
Event | IEEE International Conference on Intelligence and Security Informatics, ISI 2005 - Atlanta, GA, United States Duration: May 19 2005 → May 20 2005 |
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science