Communication Dans Un Congrès Année : 2018

JEMImE: A Serious Game to Teach Children with ASD How to Adequately Produce Facial Expressions

Jérémy Bourgeois
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  • IdRef : 169989100
Kevin Bailly

Résumé

Being able to produce facial expressions (FEs) that are adequate given a social context is key to harmonious social development, particularly in the case of children plagued with autism spectrum disorder (ASD). In this paper, we introduce JEMImE, a serious game solution that aims at teaching children how to produce FEs. JEMImE is based on a FE recognition module that is learned on a large video corpus of children performing FEs. This module is validated and incorporated through multiple scenarios of gradual difficulty, ranging from a training phase where children have to perform the FEs on request, with or without an avatar model, to an in-context phase that involves many emotion-eliciting social situations with virtual characters.

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Dates et versions

hal-02076870 , version 1 (22-03-2019)

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Citer

Arnaud Dapogny, Charline Grossard, Stephanie Hun, Sylvie Serret, Jérémy Bourgeois, et al.. JEMImE: A Serious Game to Teach Children with ASD How to Adequately Produce Facial Expressions. 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018), May 2018, Xi'an, France. pp.723-730, ⟨10.1109/FG.2018.00114⟩. ⟨hal-02076870⟩
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