@inproceedings{5ed73a44a3bf4adb8281e6436cf8ec0f,
title = "JEMImE: A serious game to teach children with ASD how to adequately produce facial expressions",
abstract = "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.",
keywords = "Autism spectrum disorders, Emotion production, Facial expression recognition, Serious game",
author = "Arnaud Dapogny and Charline Grossard and Stephanie Hun and Sylvie Serret and Jeremy Bourgeois and Hedy Jean-Marie and Pierre Foulon and Huaxiong Ding and Liming Chen and Severine Dubuisson and Ouriel Grynszpan and David Cohen and Kevin Bailly",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018 ; Conference date: 15-05-2018 Through 19-05-2018",
year = "2018",
month = jun,
day = "5",
doi = "10.1109/FG.2018.00114",
language = "English",
series = "Proceedings - 13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "723--730",
booktitle = "Proceedings - 13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018",
address = "United States",
}