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Appl. Sci. 2018, 8(2), 274;

Towards New Mappings between Emotion Representation Models

Department of Software Engineering, Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, 80-233 Gdansk, Poland
Received: 24 November 2017 / Revised: 10 January 2018 / Accepted: 9 February 2018 / Published: 12 February 2018
(This article belongs to the Special Issue Socio-Cognitive and Affective Computing)
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There are several models for representing emotions in affect-aware applications, and available emotion recognition solutions provide results using diverse emotion models. As multimodal fusion is beneficial in terms of both accuracy and reliability of emotion recognition, one of the challenges is mapping between the models of affect representation. This paper addresses this issue by: proposing a procedure to elaborate new mappings, recommending a set of metrics for evaluation of the mapping accuracy, and delivering new mapping matrices for estimating the dimensions of a Pleasure-Arousal-Dominance model from Ekman’s six basic emotions. The results are based on an analysis using three datasets that were constructed based on affect-annotated lexicons. The new mappings were obtained with linear regression learning methods. The proposed mappings showed better results on the datasets in comparison with the state-of-the-art matrix. The procedure, as well as the proposed metrics, might be used, not only in evaluation of the mappings between representation models, but also in comparison of emotion recognition and annotation results. Moreover, the datasets are published along with the paper and new mappings might be created and evaluated using the proposed methods. The study results might be interesting for both researchers and developers, who aim to extend their software solutions with affect recognition techniques. View Full-Text
Keywords: affective computing; emotion recognition; emotion representation models; emotion mapping; Ekman’s six basic emotions; Pleasure-Arousal-Dominance model affective computing; emotion recognition; emotion representation models; emotion mapping; Ekman’s six basic emotions; Pleasure-Arousal-Dominance model

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Landowska, A. Towards New Mappings between Emotion Representation Models. Appl. Sci. 2018, 8, 274.

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