Towards More Robust Automatic Facial Expression Recognition in Smart Environments

Bernin, Arne, Müller, Larissa, Ghose, Sobin, von Luck, Kai, Grecos, Christos, Wang, Qi and Vogt, Florian (2017) Towards More Robust Automatic Facial Expression Recognition in Smart Environments. In: Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments. ACM, New York, NY, USA, pp. 37-44. ISBN 9781450352277

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Abstract

In this paper, we provide insights towards achieving more robust automatic facial expression recognition in smart environments based on our benchmark with three labeled facial expression databases. These databases are selected to test for desktop, 3D and smart environment application scenarios. This work is meant to provide a neutral comparison and guidelines for developers and researchers interested to integrate facial emotion recognition technologies in their applications, understand its limitations and adaptation as well as enhancement strategies. We also introduce and compare three different metrics for finding the primary expression in a time window of a displayed emotion. In addition, we outline facial emotion recognition limitations and enhancements for smart environments and non-frontal setups. By providing our comparison and enhancements we hope to build a bridge from affective computing research and solution providers to application developers that like to enhance new applications by including emotion based user modeling.

Item Type:	Book Section
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Computer software T Technology > T Technology (General) > Information Technology > Computer software
Divisions:	School of Computing > Staff Research and Publications
Depositing User:	Caoimhe Ní Mhaicín
Date Deposited:	27 Feb 2019 11:42
Last Modified:	27 Feb 2019 11:42
URI:	https://norma.ncirl.ie/id/eprint/3596

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