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Implementation of Interactive Interview System Using Hand Gesture Recognition

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Advanced Intelligent Computing (ICIC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6838))

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Abstract

This paper describes a implementation of virtual interactive interview system. A hand motion recognition algorithm based on the particle filters is applied for this system. The particle filter is well operated for human hand motion recognition than any other recognition algorithm. Through the experiments, we show that the proposed scheme is stable and works well in virtual interview system’s environments.

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References

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Authors and Affiliations

  1. Department of Information and Communication Engineering, Honam University, Seobongdong, Gwangsangu, Gwangju, 506-714, South Korea

    Yang Weon Lee

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  1. Yang Weon Lee
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Editor information

De-Shuang Huang Yong Gan Vitoantonio Bevilacqua Juan Carlos Figueroa

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© 2011 Springer-Verlag Berlin Heidelberg

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Lee, Y.W. (2011). Implementation of Interactive Interview System Using Hand Gesture Recognition. In: Huang, DS., Gan, Y., Bevilacqua, V., Figueroa, J.C. (eds) Advanced Intelligent Computing. ICIC 2011. Lecture Notes in Computer Science, vol 6838. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24728-6_35

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  • DOI: https://doi.org/10.1007/978-3-642-24728-6_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24727-9

  • Online ISBN: 978-3-642-24728-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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