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Towards a Multimodal Time-Based Empathy Prediction System

Barbieri, F., Guizzo, E., Lucchesi, F., Maffei, G., del Prado Martin, F. M. and Weyde, T. ORCID: 0000-0001-8028-9905 (2019). Towards a Multimodal Time-Based Empathy Prediction System. 2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019), pp. 716-720. doi: 10.1109/FG.2019.8756532

Abstract

We describe our system for empathic emotion recognition. It is based on deep learning on multiple modalities in a late fusion architecture. We describe the modules of our system and discuss the evaluation results. Our code is also available for the research community.

Publication Type: Article
Additional Information: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: School of Mathematics, Computer Science & Engineering > Computer Science
URI: https://openaccess.city.ac.uk/id/eprint/23670
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