This chapter provides an overview of an initial investigation into a novel approach for deriving indicators of deception from video-taped interactions. 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 research, the team established the validity of the approach and identified a number of promising features and future research directions.
Keywords
- Nonverbal Behavior
- Angular Movement
- Automatic Extraction
- Truth Teller
- Deception Detection
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Meservy, T.O., Jensen, M.L., Kruse, W.J., Burgoon, J.K., Nunamaker, J.F. (2008). Automatic Extraction of Deceptive Behavioral Cues from Video. In: Chen, H., Reid, E., Sinai, J., Silke, A., Ganor, B. (eds) Terrorism Informatics. Integrated Series In Information Systems, vol 18. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-71613-8_23
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