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Computational Modeling of Human Social Intention


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%).
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hal-01539574 , version 1 (15-06-2017)



Mohamed Daoudi, Maxime Devanne, Francois Quesque, Yann Coello. Computational Modeling of Human Social Intention. ECCV, 1st Workshop on Action and Anticipation for Visual Learning, Oct 2016, Amsterdam, Netherlands. ⟨10.1007/978-3-540-69162-4_20⟩. ⟨hal-01539574⟩
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