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Emotion recognition from posed and spontaneous dynamic expressions: Human observers vs. machine analysis

Krumhuber, E; Küster, D; Namba, S; Shah, D; Calvo, MG; (2019) Emotion recognition from posed and spontaneous dynamic expressions: Human observers vs. machine analysis. Emotion 10.1037/emo0000712. (In press). Green open access

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Abstract

The majority of research on the judgment of emotion from facial expressions has focused on deliberately posed displays, often sampled from single stimulus sets. Herein, we investigate emotion recognition from posed and spontaneous expressions, comparing classification performance between humans and machine in a cross-corpora investigation. For this, dynamic facial stimuli portraying the six basic emotions were sampled from a broad range of different databases, and then presented to human observers and a machine classifier. Recognition performance by the machine was found to be superior for posed expressions containing prototypical facial patterns, and comparable to humans when classifying emotions from spontaneous displays. In both humans and machine, accuracy rates were generally higher for posed compared to spontaneous stimuli. The findings suggest that automated systems rely on expression prototypicality for emotion classification and may perform just as well as humans when tested in a cross-corpora context. (PsycINFO Database Record (c) 2019 APA, all rights reserved)

Type: Article
Title: Emotion recognition from posed and spontaneous dynamic expressions: Human observers vs. machine analysis
Open access status: An open access version is available from UCL Discovery
DOI: 10.1037/emo0000712
Publisher version: https://doi.org/10.1037/emo0000712
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Experimental Psychology
URI: https://discovery.ucl.ac.uk/id/eprint/10086322
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