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Deception Detection Via Blob Motion Pattern Analysis

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Affective Computing and Intelligent Interaction (ACII 2007)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4738))

Abstract

Deception dectection is one of the most difficult problems in affect recognition and expression research area. Recently, non-verbal methods of detecting deception have appeared to be promising. Thomas[1] presented a proof-of-concept study based on the blob analysis of some suspects’ interviews and mock experiments video clips. In this paper, we present our recent research work in the direction of developing an automated deception detection system. We propose a blob motion pattern analysis approach to solve this problem.

Supported by the National Natural Science Foundation of China (60433030).

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References

  1. Meservy, T.O., Jensen, M.L., Kruse, J., et al.: Deception detection through automatic, unobtrusive analysis of nonverbal behavior. IEEE Intelligent Systems 20(5), 36–43 (2005)

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  2. Buller, D.B., Burgoon, J.K.: Interpersonal deception theory. Communication Theory 6, 203–242 (1996)

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  3. George, J.F., Biros, D.P., Burgoon, J.K., Nunamaker Jr., J.F.: Training Professionals to Detect Deception. In: NSF/NIJ Symposium on Intelligence and Security Informatics, Tucson, AZ (2003)

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Author information

Authors and Affiliations

  1. State Key Laboratory of Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University, Beijing, 100084, P.R. China

    Fan Xia, Hong Wang & Junxian Huang

Authors
  1. Fan Xia
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  2. Hong Wang
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  3. Junxian Huang
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Editor information

Ana C. R. Paiva Rui Prada Rosalind W. Picard

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© 2007 Springer-Verlag Berlin Heidelberg

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Xia, F., Wang, H., Huang, J. (2007). Deception Detection Via Blob Motion Pattern Analysis. In: Paiva, A.C.R., Prada, R., Picard, R.W. (eds) Affective Computing and Intelligent Interaction. ACII 2007. Lecture Notes in Computer Science, vol 4738. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74889-2_70

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  • DOI: https://doi.org/10.1007/978-3-540-74889-2_70

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74888-5

  • Online ISBN: 978-3-540-74889-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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