Body expression recognition from animated 3D skeleton

Arthur Crenn 1 Rizwan Ahmed Khan 1 Alexandre Meyer 1 Saida Bouakaz 1
1 SAARA - Simulation, Analyse et Animation pour la Réalité Augmentée
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : We present a novel and generic framework for the recognition of body expressions using human postures. Motivated by the state of the art from the domain of psychology, our approach recognizes expression by analyzing sequence of pose. Features proposed in this article are computationally simple and intuitive to understand. They are based on visual cues and provide in-depth understanding of body postures required to recognize body expressions. We have evaluated our approach on different databases with heterogeneous movements and body expressions. Our recognition results exceeds state of the art for some database and for others we obtain results at par with state of the art.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01494984
Contributor : Alexandre Meyer <>
Submitted on : Thursday, March 30, 2017 - 10:14:13 AM
Last modification on : Tuesday, February 26, 2019 - 3:37:56 PM

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Arthur Crenn, Rizwan Ahmed Khan, Alexandre Meyer, Saida Bouakaz. Body expression recognition from animated 3D skeleton. International Conference on 3D Imaging (IC3D 2016), Dec 2016, Liège, Belgium. ⟨10.1109/IC3D.2016.7823448⟩. ⟨hal-01494984⟩

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