Skip to main content
SpringerLink
Log in

Gesture Recognition Using Temporal Population Coding and a Conceptual Space

  • Conference paper
Biomimetic and Biohybrid Systems (Living Machines 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8608))

Included in the following conference series:

  • 2847 Accesses

Abstract

The processing of visual information requires a robust way of encoding stimuli that is able to extract key features for further stimulus assessment while staying invariant to disturbances. We propose a gesture recognition system based on a temporal population code to transform gestures into elements in a conceptual space.

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 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

References

  1. Gärdenfors, P.: Conceptual spaces: The geometry of thought. MIT Press (2004)

    Google Scholar 

  2. Wyss, R., König, P., Verschure, P.F.: Invariant representations of visual patterns in a temporal population code. Proceedings of the National Academy of Sciences 100(1), 324–329 (2003)

    Article  Google Scholar 

  3. Luvizotto, A., Rennó-Costa, C., Pattacini, U., Verschure, P.F.M.J.: The encoding of complex visual stimuli by a canonical model of the primary visual cortex: Temporal population code for face recognition on the icub robot. In: 2011 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 313–318 (2011)

    Google Scholar 

  4. Izhikevich, E.M., et al.: Simple model of spiking neurons. IEEE Transactions on neural networks 14(6), 1569–1572 (2003)

    Article  MathSciNet  Google Scholar 

  5. Rousseeuw, P.J.: Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. Journal of computational and applied mathematics 20, 53–65 (1987)

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Synthetic, Perceptive, Emotive and Cognitive Systems group (SPECS), Universitat Pompeu Fabra (UPF), Roc Boronat 138, 08018, Barcelona, Spain

    Jan Niklas Schneider, Stéphane Lallée & Paul F. M. J. Verschure

  2. Institució Catalana de Recerca i Estudis Avançats (ICREA), Passeig Llus Companys 23, 08010, Barcelona, Spain

    Paul F. M. J. Verschure

Authors
  1. Jan Niklas Schneider
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Stéphane Lallée
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Paul F. M. J. Verschure
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Universitat Pompeu Fabra, Barcelona, Spain

    Armin Duff

  2. University of Bristol, UK

    Nathan F. Lepora

  3. University of Pompeau Fabra, Barcelona, Spain

    Anna Mura

  4. University of Sheffield, Sheffield, UK

    Tony J. Prescott

  5. Universitat Pompeu Fabra and Catalan Institution for Research and Advanced Studies, Barcelona, Spain

    Paul F. M. J. Verschure

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Schneider, J.N., Lallée, S., Verschure, P.F.M.J. (2014). Gesture Recognition Using Temporal Population Coding and a Conceptual Space. In: Duff, A., Lepora, N.F., Mura, A., Prescott, T.J., Verschure, P.F.M.J. (eds) Biomimetic and Biohybrid Systems. Living Machines 2014. Lecture Notes in Computer Science(), vol 8608. Springer, Cham. https://doi.org/10.1007/978-3-319-09435-9_52

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-09435-9_52

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09434-2

  • Online ISBN: 978-3-319-09435-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation