Characterisation of gestural units in light of human-avatar interaction

Authors

  • I. Renna Paris 8 University
  • S. Delacroix Institut National de Podologie
  • F. Catteau Paris 8 University
  • C. Vincent Paris 8 University
  • D. Boutet Paris 8 University

DOI:

https://doi.org/10.4108/ct.2.3.e5

Keywords:

Gesture units, stroke segmentation, gesture characterization

Abstract

We present a method for characterizing coverbal gestural units intended for human-avatar interaction. We recorded 12 gesture types, using a motion-capture system. We used the markers positions thus obtained to determine the gestural units after stroke segmentation. We complement our linguistic analysis of gestures with an elaboration of our biomechanical hypotheses, our method of segmentation, our characterization hypotheses and the results obtained.

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Published

02-06-2015

Issue

Vol. 2 No. 3 (2015): EAI Endorsed Transactions on Creative Technologies

Section

Research article

License

This is an open-access article distributed under the terms of the Creative Commons Attribution CC BY 3.0 license, which permits unlimited use, distribution, and reproduction in any medium so long as the original work is properly cited.

How to Cite

1.
Characterisation of gestural units in light of human-avatar interaction. EAI Endorsed Trans Creat Tech [Internet]. 2015 Jun. 2 [cited 2025 Nov. 1];2(3):e5. Available from: https://publications.eai.eu/index.php/ct/article/view/1581