Skip to main content

Modeling Action Verb Semantics Using Motion Tracking

  • Conference paper
Artificial Neural Networks and Machine Learning – ICANN 2013 (ICANN 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8131))

Included in the following conference series:

  • 6131 Accesses

Abstract

In this article, we consider how semantics of action verbs can be grounded on motion tracking data. We present the basic principles and requirements for grounding of verbs through case studies related to human movement. The data includes high-dimensional movement patterns and linguistic expressions that people have used to name these movements. We discuss open issues and possibilities related to symbol grounding. As a conclusion, we find the grounding to be useful when reasoning about the meaning of words and relationships between them within one language and potentially also between languages.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Hörmann, H.: Meaning and Context. Plenum Press, New York (1986)

    Book  Google Scholar 

  2. Choi, S., Bowerman, M.: Learning to express motion events in English and Korean: The influence of language-specific lexicalization patterns. Cognition 41(1), 83–121 (1991)

    Article  Google Scholar 

  3. Harnad, S.: The symbol grounding problem. Physica D 42, 335–346 (1990)

    Article  Google Scholar 

  4. Pavlović, V., Rehg, J., MacCormick, J.: Learning switching linear models of human motion. In: Advances in Neural Information Processing Systems 13, pp. 981–987 (2001)

    Google Scholar 

  5. Taylor, G.W., Hinton, G.E., Roweis, S.: Modeling human motion using binary latent variables. In: Advances in Neural Information Processing Systems 19, pp. 1345–1352 (2007)

    Google Scholar 

  6. Davis, J., Gao, H.: Gender recognition from walking movements using adaptive three-mode PCA. In: Computer Vision and Pattern Recognition Workshop (2004)

    Google Scholar 

  7. Roy, D.: Grounding words in perception and action: computational insights. Trends in Cognitive Sciences 9(8), 389–396 (2005)

    Article  Google Scholar 

  8. Williams, M.A., McCarthy, J., Gärdenfors, P., Stanton, C., Karol, A.: A grounding framework. Autonomous Agents and Multi-Agent Systems 19(3), 272–296 (2009)

    Article  Google Scholar 

  9. Lakoff, G., Johnson, M.: Philosophy in the Flesh - The Embodied Mind and its Challenge to Western Thought. John Wiley, New York (1999)

    Google Scholar 

  10. Glenberg, A.M., Robertson, D.A.: Symbol grounding and meaning: A comparison of high-dimensional and embodied theories of meaning. Journal of Memory and Language 43(3), 379–401 (2000)

    Article  Google Scholar 

  11. Sun, R.: Symbol grounding: a new look at an old idea. Philosophical Psychology 13(2), 149–172 (2000)

    Article  Google Scholar 

  12. Vogt, P.: The physical symbol grounding problem. Cognitive Systems Research 3(3), 429–457 (2002)

    Article  Google Scholar 

  13. Gärdenfors, P., Warglien, M.: Using conceptual spaces to model actions and events. Journal of Semantics 29(4), 487–519 (2012)

    Article  Google Scholar 

  14. Bailey, D.: When Push Comes to Shove: A Computational Model of the Role of Motor Control in the Acquisition of Action Verbs. PhD thesis, UC Berkeley (1997)

    Google Scholar 

  15. Honkela, T.: Philosophical aspects of neural, probabilistic and fuzzy modeling of language use and translation. In: Proceedings of IJCNN 2007, pp. 2881–2886 (2007)

    Google Scholar 

  16. Li, W.: Zipf’s law everywhere. Glottometrics 5, 14–21 (2002)

    MATH  Google Scholar 

  17. Shoemake, K.: Animating rotation with quaternion curves. SIGGRAPH Computer Graphics 19(3), 245–254 (1985)

    Article  Google Scholar 

  18. Kohonen, T.: Self-Organizing Maps. Springer (2001)

    Google Scholar 

  19. Ji, R., Yao, H., Liu, W., Sun, X., Tian, Q.: Task-dependent visual-codebook compression. IEEE Transactions on Image Processing 21(4), 2282–2293 (2012)

    Article  MathSciNet  Google Scholar 

  20. Honkela, T., Raitio, J., Nieminen, I., Lagus, K., Honkela, N., Pantzar, M.: Using GICA method to quantify epistemological subjectivity. In: Proc. of IJCNN 2012, pp. 2875–2883 (2012)

    Google Scholar 

  21. Sjöberg, M., Viitaniemi, V., Laaksonen, J., Honkela, T.: Analysis of semantic information available in an image collection augmented with auxiliary data. In: Proc. of AIAI 2006, Artificial Intelligence Applications and Innovations, pp. 600–608. Springer (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Honkela, T., Förger, K. (2013). Modeling Action Verb Semantics Using Motion Tracking. In: Mladenov, V., Koprinkova-Hristova, P., Palm, G., Villa, A.E.P., Appollini, B., Kasabov, N. (eds) Artificial Neural Networks and Machine Learning – ICANN 2013. ICANN 2013. Lecture Notes in Computer Science, vol 8131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40728-4_39

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-40728-4_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40727-7

  • Online ISBN: 978-3-642-40728-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics