Computational Modeling of Human Social Intention
Type de document :
Autre communication scientifique (congrès sans actes - poster - séminaire...)
Titre :
Computational Modeling of Human Social Intention
Auteur(s) :
Daoudi, Mohamed [Auteur]
Modeling and Analysis of Static and Dynamic Shapes [3D-SAM]
Devanne, Maxime [Auteur]
Modeling and Analysis of Static and Dynamic Shapes [3D-SAM]
Quesque, Francois [Auteur]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Coello, Yann [Auteur]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Modeling and Analysis of Static and Dynamic Shapes [3D-SAM]
Devanne, Maxime [Auteur]
Modeling and Analysis of Static and Dynamic Shapes [3D-SAM]
Quesque, Francois [Auteur]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Coello, Yann [Auteur]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Titre de la manifestation scientifique :
ECCV, 1st Workshop on Action and Anticipation for Visual Learning
Ville :
Amsterdam
Pays :
Pays-Bas
Date de début de la manifestation scientifique :
2016-10-09
Mot(s)-clé(s) en anglais :
action recognition
Human Social Intention
Human Social Intention
Discipline(s) HAL :
Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
Sciences cognitives/Neurosciences
Sciences cognitives/Neurosciences
Résumé en anglais : [en]
In this paper, we propose to analyze the kinematic of human arm to predict social intention (personal vs. social intention). We propose to use infrared markers placed on the arms of two human subjects. The trajec-tories ...
Lire la suite >In this paper, we propose to analyze the kinematic of human arm to predict social intention (personal vs. social intention). We propose to use infrared markers placed on the arms of two human subjects. The trajec-tories of different markers are defined as shape spaces and subsequently analyzed as a Riemannian manifold for the purposes of characterizing the intention (personal vs. social). The first results show that the best results are obtained with the wrist marker (69.2%).Lire moins >
Lire la suite >In this paper, we propose to analyze the kinematic of human arm to predict social intention (personal vs. social intention). We propose to use infrared markers placed on the arms of two human subjects. The trajec-tories of different markers are defined as shape spaces and subsequently analyzed as a Riemannian manifold for the purposes of characterizing the intention (personal vs. social). The first results show that the best results are obtained with the wrist marker (69.2%).Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :
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- computational-modeling-human-17.pdf
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