ct 15(3): e5

Research Article

Characterisation of gestural units in light of human-avatar interaction

Download1284 downloads
  • @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
I. Renna1,*, S. Delacroix2, F. Catteau1, C. Vincent1, D. Boutet1
  • 1: Structures Formelles du Langage, UMR 7023 (CNRS / Université Paris 8)
  • 2: Laboratoire d’Analyse du Mouvement, Institut National de Podologie, Paris
*Contact email: ilaria.renna@gmail.com

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.