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Eigengestures for Natural Human Computer Interface

  • Piotr Gawron
  • Przemysław Głomb
  • Jarosław A. Miszczak
  • Zbigniew Puchała
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 103)

Abstract

We present the application of Principal Component Analysis for data acquired during the design of a natural gesture interface. We investigate the concept of an eigengesture for motion capture hand gesture data and present the visualisation of principal components obtained in the course of conducted experiments. We also show the influence of dimensionality reduction on reconstructed gesture data quality.

Keywords

graph similarity measure pattern analysis automatic evaluation decision support 

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References

  1. 1.
    Alexa, M., Müller, W.: Representing animations by principal components. Computer Graphics Forum 19(3), 411–418 (2000)CrossRefGoogle Scholar
  2. 2.
    Birk, H., Moeslund, T., Madsen, C.: Real-time recognition of hand alphabet gestures using principal component analysis. In: Proceedings of the 10th Scandinavian Conference on Image Analysis (1997)Google Scholar
  3. 3.
    Głomb, P., Romaszewski, M., Opozda, S., Sochan, A.: Choosing and modeling gesture database for natural user interface. In: Proceedings of the 9th International Gesture Workshop “Gesture in Embodied Communication and Human-Computer Interaction” (2011) (accepted for publication)Google Scholar
  4. 4.
    Golub, G.H., Van Loan, C.F.: Matrix Computations, 3rd edn. The Johns Hopkins University Press, Baltimore (1996)zbMATHGoogle Scholar
  5. 5.
    Hyvärinen, A., Hurri, J., Hoyer, P.: Natural Image Statistics: A probabilistic approach to early computational vision. Springer, New York (2009)zbMATHGoogle Scholar
  6. 6.
    Jolliffe, I.T.: Principal Component Analysis, 2nd edn. Springer Series in Statistics. Springer, New York (2002)zbMATHGoogle Scholar
  7. 7.
    Kolda, T., Bader, B.: Tensor decompositions and applications. SIAM Review 51(3), 455–500 (2009)MathSciNetzbMATHCrossRefGoogle Scholar
  8. 8.
    McNeill, D.: Hand and Mind: What Gestures Reveal about Thought. The University of Chicago Press, Chicago (1992)Google Scholar
  9. 9.
    Nakajima, M., Uchida, S., Mori, A., Kurazume, R., Taniguchi, R., Hasegawa, T., Sakoe, H.: Motion prediction based on eigen-gestures. Tech. Rep. PRMU2006 130-160. Institute of Electronics, Information and Communication Engineers (2006)Google Scholar
  10. 10.
    Quek, F., McNeill, D., Bryll, R., Duncan, S., Ma, X., Kirbas, C., McCullough, K., Ansari, R.: Multimodal human discourse: gesture and speech. ACM Transactions on Computer-Human Interaction 9, 171–193 (2002)CrossRefGoogle Scholar
  11. 11.
    Solutions, D.E.: DG5 VHand 2.0 OEM Technical Datasheet. Tech. rep., DGTech Engineering Solutions, Release 1.1 (2007)Google Scholar
  12. 12.
    Turk, M., Pentland, A.: Eigenfaces for recognition. Journal of Cognitive Neuroscience 3(1), 71–86 (1991)CrossRefGoogle Scholar
  13. 13.
    Wexelblat, A.: Research challenges in gesture: Open issues and unsolved problems. In: Wachsmuth, I., Fröhlich, M. (eds.) GW 1997. LNCS (LNAI), vol. 1371, pp. 1–11. Springer, Heidelberg (1998)CrossRefGoogle Scholar
  14. 14.
    Witte, K., Schobesberger, H., Peham, C.: Motion pattern analysis of gait in horseback riding by means of principal component analysis. Human Movement Science 28(3), 394–405 (2009)CrossRefGoogle Scholar
  15. 15.
    Yang, H., Park, A., Lee, S.: Gesture spotting and recognition for human–robot interaction. IEEE Transactions on Robotics 23(2), 256–270 (2007)CrossRefGoogle Scholar
  16. 16.
    Yao, M., Qu, X., Gu, Q., Ruan, T., Lou, Z.: Online PCA with adaptive subspace method for real-time hand gesture learning and recognition. WSEAS Transactions on Computers 9(6), 583–592 (2010)Google Scholar
  17. 17.
    Zhang, J., Guo, K., Herwana, C., Kender, J.: Annotation and taxonomy of gestures in lecture videos. In: Proceedings of the IEEE Computer Vision and Pattern Recognition Workshops, pp. 1–8 (2010)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Piotr Gawron
    • 1
  • Przemysław Głomb
    • 1
  • Jarosław A. Miszczak
    • 1
  • Zbigniew Puchała
    • 1
  1. 1.Institute of Theoretical and Applied InformaticsPolish Academy of SciencesGliwicePoland

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