Characterisation of gestural units in light of human-avatar interaction

Ilaria Renna (1) , Sébastien Delacroix (2) , Fanny Catteau (1) , Coralie Vincent (1) , Dominique Boutet (3, 1)

1 SFL - Structures Formelles du Langage
2 LBMC UMR T9406 - Laboratoire de Biomécanique et Mécanique des Chocs
3 UEVE - Université d'Évry-Val-d'Essonne

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.

Mots clés: gesture characterization; gesture units; stroke segmentation

Domaines: Linguistique; Linguistique; Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Ilaria Renna, Sébastien Delacroix, Fanny Catteau, Coralie Vincent, Dominique Boutet. Characterisation of gestural units in light of human-avatar interaction. EAI Endorsed Transactions on Creative Technologies, 2015, 15 (3), pp.10.4108/ct.2.3.e5. ⟨10.4108/ct.2.3.e5⟩. ⟨hal-01162801⟩