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Automatic Extraction of Deceptive Behavioral Cues from Video

  • Thomas O. Meservy
  • Matthew L. Jensen
  • John Kruse
  • Judee K. Burgoon
  • Jay F. Nunamaker
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3495)

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.

Keywords

Nonverbal Behavior Video Segment Triangle Area 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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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Thomas O. Meservy
    • 1
  • Matthew L. Jensen
    • 1
  • John Kruse
    • 1
  • Judee K. Burgoon
    • 1
  • Jay F. Nunamaker
    • 1
  1. 1.Center for the Management of InformationUniversity of ArizonaTucson

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