Research Article
Characterisation of gestural units in light of human-avatar interaction
@ARTICLE{10.4108/ct.2.3.e5, author={I. Renna and S. Delacroix and F. Catteau and C. Vincent and D. Boutet}, title={Characterisation of gestural units in light of human-avatar interaction}, journal={EAI Endorsed Transactions on Creative Technologies}, volume={2}, number={3}, publisher={ICST}, journal_a={CT}, year={2015}, month={6}, keywords={Gesture units, stroke segmentation, gesture characterization}, doi={10.4108/ct.2.3.e5} }- I. Renna
S. Delacroix
F. Catteau
C. Vincent
D. Boutet
Year: 2015
Characterisation of gestural units in light of human-avatar interaction
CT
ICST
DOI: 10.4108/ct.2.3.e5
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.
Copyright © 2015 I. Renna et al., licensed to ICST. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
