Recently, our paper titled as “High-performance and Lightweight Real-time Deep Face Emotion Recognition” has been accepted for publication at the SMAP2017 – 12th International Workshop on Semantic and Social Media Adaptation and Personalization. This paper will be included as part of the Special Session on Multimodal affective analysis for human-machine interfaces and learning environments.
This paper (J. Schwan, E. Ghaleb, E. Hortal and S. Asteriadis) is the outcome of a student internship and presents a method for facial analysis in the wild based on Convolutional Neural Networks. This system will be applied in learning enviroments in the context of MaTHiSiS project (http://www.mathisis-project.eu/).