A New Computational Approach to Identify ...
Type de document :
Communication dans un congrès avec actes
DOI :
Titre :
A New Computational Approach to Identify Human Social intention in Action
Auteur(s) :
Daoudi, Mohamed [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Coello, Yann [Auteur]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Desrosiers, Paul [Auteur]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Ott, Laurent [Auteur]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Coello, Yann [Auteur]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Desrosiers, Paul [Auteur]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Ott, Laurent [Auteur]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Titre de la manifestation scientifique :
IEEE International Conference on AUTOMATIC FACE AND GESTURE RECOGNITION (FG 2018)
Ville :
Xi'an
Pays :
Chine
Date de début de la manifestation scientifique :
2018-05-15
Discipline(s) HAL :
Sciences cognitives/Neurosciences
Sciences cognitives/Informatique
Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
Sciences cognitives/Informatique
Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
Résumé en anglais : [en]
In this paper, we propose to analyze the trajec-tories of the human arm to predict social intention (personal or social intention). The trajectories of different 3D markers acquired by Mocap system, are defined in shape ...
Lire la suite >In this paper, we propose to analyze the trajec-tories of the human arm to predict social intention (personal or social intention). The trajectories of different 3D markers acquired by Mocap system, are defined in shape spaces of open curves. The results obtained in the experiments on a new dataset show an average recognition of about 68% for the proposed method, which is comparable with the average score produced by human evaluation. The experimental results show also that the classification rate could be used to improve social communication between human and virtual agents. To the best of our knowledge, this is the first paper which uses computer vision techniques to analyze the effect of social intention on motor action for improving the social communication between human and avatar.Lire moins >
Lire la suite >In this paper, we propose to analyze the trajec-tories of the human arm to predict social intention (personal or social intention). The trajectories of different 3D markers acquired by Mocap system, are defined in shape spaces of open curves. The results obtained in the experiments on a new dataset show an average recognition of about 68% for the proposed method, which is comparable with the average score produced by human evaluation. The experimental results show also that the classification rate could be used to improve social communication between human and virtual agents. To the best of our knowledge, this is the first paper which uses computer vision techniques to analyze the effect of social intention on motor action for improving the social communication between human and avatar.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Projet ANR :
Collections :
Source :
Fichiers
- https://hal.archives-ouvertes.fr/hal-01692111v2/document
- Accès libre
- Accéder au document
- https://hal.archives-ouvertes.fr/hal-01692111v2/document
- Accès libre
- Accéder au document
- https://hal.archives-ouvertes.fr/hal-01692111v2/document
- Accès libre
- Accéder au document
- document
- Accès libre
- Accéder au document
- 199.pdf
- Accès libre
- Accéder au document
- 199.pdf
- Accès libre
- Accéder au document