Characterisation of gestural units in light of human-avatar interaction
DOI:
https://doi.org/10.4108/ct.2.3.e5Keywords:
Gesture units, stroke segmentation, gesture characterizationAbstract
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
How to Cite
1.
Renna I, Delacroix S, Catteau F, Vincent C, Boutet D. Characterisation of gestural units in light of human-avatar interaction. EAI Endorsed Trans Creat Tech [Internet]. 2015 Jun. 2 [cited 2024 Dec. 23];2(3):e5. Available from: https://publications.eai.eu/index.php/ct/article/view/1581
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Research article
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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.
