Skip to main content
SpringerLink
Log in

Virtually Cloning Real Human with Motion Style

  • Conference paper
  • First Online:
Proceedings of the Third International Conference on Intelligent Human Computer Interaction (IHCI 2011), Prague, Czech Republic, August, 2011

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 179))

  • 833 Accesses

Abstract

Our goal is to capture style from real human motion so it can be rendered with a virtual agent that represents this human user. We used expressivity parameters to describe motion style. As a first contribution, we propose an approach to estimate a subset of expressivity parameters defined in the literature (namely spatial extent and temporal extent) from captured motion trajectories. Second, we capture the expressivity of real users and then output it to the Greta engine that animates a virtual agent representing the user. We experimentally demonstrate that expressivity can be another clue for identifiable virtual clones of real humans.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Bavelas, J.B., Chovil, N.: Visible acts of meaning:an integrated message model of language in face to face, dialogue. 19, 163–494 (2000)

    Google Scholar 

  2. Boone, R.T., Cunningham, J.G.: Children’s decoding of emotion in expressive body movement: the development of cue attunement. Develop. Psychol. 34, 1007–1016 (1998)

    Google Scholar 

  3. Camurri, A., Castellano, G., Ricchetti, M., Volpe, G.: Subject interfaces: measuring bodily activation during an emotional experience of music. Gesture Hum.-Comput. Interact. Stimulat. 3881, 268–279 (2006)

    Google Scholar 

  4. Camurri, A., Lagerlöf, I., Volpe, G.: Recognizing emotion from dance movement: Comparison of spectator recognition and automated, techniques. Int. J. Hum.-Comput. Stud. 59, 213–225 (2003)

    Google Scholar 

  5. Chellappa, R., Roy-Chowdhury, A.K., Kale, A.: Human identification using gait and face. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Minneapolis, 2007. pp. 1–2

    Google Scholar 

  6. Craig, J.J.: Introduction to Robotics: Mechanics and Control, 3rd edn. Prentice hall, London (1986)

    Google Scholar 

  7. Davis, J.W., Gao, H.: An expressive three-mode principal components model of human action style. 21, 1001–1016 (2003)

    Google Scholar 

  8. Drosopoulos, A., Mpalomenos, T., Ioannou, S., Karpouzis, K., Kollias, S.: Emotionally-rich man-machine interaction based on gesture, analysis. Human Computer Interaction International, vol. 4, pp. 1372–1376 (2003)

    Google Scholar 

  9. Ekinci, M.: A new approach for human identification using gait recognition. In: Proc. of ICCSA, vol. 3, pp. 1216–1225, Glasgow (2006)

    Google Scholar 

  10. Elgammal, A., Lee, C.S.: Separating style and content on a nonlinear manifold. In: Computer Vision and, Pattern Recognition (CVPR), 2004. pp. 478–485

    Google Scholar 

  11. Fitts, P.M.: The information capacity of the human motor system in controlling the amplitude. J. Exp. Psychol. 47, 381–391 (1954)

    Article  Google Scholar 

  12. Gallaher, P.E.: Individual differences in nonverbal behavior: Dimensions of style. 63, 133–145 (1992)

    Google Scholar 

  13. Gómez Jáuregui, D.A., Horain, P., Rajagopal, M.K., Karri, S.S.K.: Real-time particle filtering with heuristics for 3d motion capture by monocular vision. In: Proc of IEEE Conference on Multimedia Signal Processing. Saint-Malo, 2010. pp. 139–144

    Google Scholar 

  14. Hartmann, B., Mancini, M., Pelachaud, C.: Implementing expressive gesture synthesis for embodied conversational agents. In: Gesture Workshop, LNAI, pp. 188–199. Springer, Heidelberg (2005)

    Google Scholar 

  15. Hassin, R., James, U., Bargh, J. (eds.): The New Unconcious. Oxford University Press, Oxford (2005)

    Google Scholar 

  16. Hsu, E., Pulli, K., Popović, J.: Style translation for human motion. Acm T. Graphic. 24, 1082–1089 (2005)

    Google Scholar 

  17. Kinect: Microsoft corporation (2010), http://www.xbox.com/en-GB/kinect

  18. Lee, L., Grimson, E.: Gait analysis for recognition and classification. In: Fifth IEEE International Conference on Automatic Face Gesture Recognition, Washington, 2002. pp. 734–742

    Google Scholar 

  19. McNeill, D.: Hand and Mind what gestures reveal about thought. The university press of chicago press, Chicago (1992)

    Google Scholar 

  20. Mancini, M., Bresin, R., Pelachaud, C.: A virtual-agent head driven by musical performance. IEEE Trans. Audio Speech Lang. Process. 15, 1883–1841 (2007)

    Google Scholar 

  21. Mehrabian, A., Wiener, M.: Decoding of inconsistent, communications. J. Pers. Soc. Psychol. 6, 109–114 (1967)

    Google Scholar 

  22. Meijer, M.: The contribution of general features of body movement to the attribution of emotions. J. Nonverbal Behav. 13, 247–268 (1989)

    Google Scholar 

  23. Noot, H., Ruttkay, Z.: The gestyle language. Int. J. Hum. Comput. Stud. 62, 211–229 (2005). (Special issue: Subtle expressivity for characters and robots)

    Google Scholar 

  24. Pelachaud, C., Poggi, I.: Subtleties of facial expressions in embodied agents. J. Vis. Comput. Anim. 13, 301–312 (2002)

    Article  MATH  Google Scholar 

  25. Pelachaud, C.: Greta, http://perso.telecom-paristech.fr/~pelachau/Greta/

  26. Quek, F., McNeill, D., Bryll, R., Kirbas, C., Arslan, H.: Gesture, speech, and gaze cues for discourse segmentation. Comput. Vis. Pattern Recognit. (CVPR). 2, 247–254 (2000)

    Google Scholar 

  27. Tenanbaum, J.B., Freeman, W.T.: Separating style and content with bilinear models. Neural Comput. 12, 1247–1283 (2000)

    Google Scholar 

  28. Vasilescu, M.O., Terzopoulos, D.: Multilinear analysis of image ensembles: Tensorfaces. In: Proceeding of the European Conference on Computer Vision (ECCV’02), Copengan, May 2002. pp. 447–460

    Google Scholar 

  29. Wallbott, H.G.: Bodily expression of emotion. Eur. J. Soc. Psychol. 28, 879–896 (1998)

    Article  Google Scholar 

  30. Wallbott, H.G., Scherer, K.R.: Cues and channels in emotion recognition. J. Pers. Soc. Psychol. 51, 690–699 (1986). (American Psychological Association)

    Google Scholar 

  31. Wang, J.M., Fleet, D.J., Hertzmann, A.: Multifactor gaussian process models for style-content seperation. In: ICML, Corvallis, 2007. pp. 975–982

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institut Telecom, Telecom SudParis, 9 rue Charles Fourier, 91000, Evry, France

    Manoj kumar Rajagopal & Patrick Horain

  2. CNRS Telecom ParisTech, 37-39 rue Dareau, 75014, Paris, France

    Catherine Pelachaud

Authors
  1. Manoj kumar Rajagopal
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Patrick Horain
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Catherine Pelachaud
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Manoj kumar Rajagopal .

Editor information

Editors and Affiliations

  1. , Faculty of Electrical Engineering and, Technical University of Ostrava, 17. listopadu 15, Ostrava-Poruba, 708 33, Czech Republic

    Miloš Kudělka

  2. , Faculty of Mathematics and Physics, Charles University, Malostranske nam. 25, Praha, 118 00, Czech Republic

    Jaroslav Pokorný

  3. , Faculty of Electrical Engineering and, Technical University of Ostrava, 17. listopadu 15, Ostrava-Poruba, 708 33, Czech Republic

    Václav Snášel

  4. Auburn, 98071, USA

    Ajith Abraham

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Rajagopal, M.k., Horain, P., Pelachaud, C. (2013). Virtually Cloning Real Human with Motion Style. In: Kudělka, M., Pokorný, J., Snášel, V., Abraham, A. (eds) Proceedings of the Third International Conference on Intelligent Human Computer Interaction (IHCI 2011), Prague, Czech Republic, August, 2011. Advances in Intelligent Systems and Computing, vol 179. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31603-6_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-31603-6_11

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31602-9

  • Online ISBN: 978-3-642-31603-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation