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1 Neurocybernetic team ETIS - Equipes Traitement de l-Information et Systèmes 2 Neurocybernétique ETIS - Equipes Traitement de l-Information et Systèmes

Abstract : As psychologists considered synchrony as an important parameter for social interaction, we hypothesize that in the case of social interaction, people focus their attention on regions of interest where the visual stimuli are synchronized with their inner dynamics. Then, we assume that a mechanism able to detect synchrony between internal dynamics of a robot and external visual stimuli can be used as a starting point for human robot interaction. Inspired by human psychological and neurobiological data, we propose a synchrony based neural network architecture capable of selecting the robot interaction partner and of locating Focus of Attention.

Keywords : Dynamical Systems Human Robot Interaction Synchrony Focus of Attention Partner Selection Dynamical Systems.





Autor: Syed Khursheed Hasnain - Philippe Gaussier - Ghiles Mostafaoui -

Fuente: https://hal.archives-ouvertes.fr/



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