Work

Accuracy of three commercial automatic emotion recognition systems across different individuals and their facial expressions

Year: 2018

Type: conference-paper

Abstract: Automatic facial expression recognition systems can provide information about our emotions and how they change over time. However, based on different statistical methods the results of automatic systems have not yet been compared. In the current paper we evaluate the emotion detection between three different commercial systems (i.e. Affectiva, Kairos and Microsoft) when detecting dynamic and spontaneous facial expressions. Even if the study was performed on a limited sample of videos, the results show significant differences between the systems for the same video and per system across comparable facial expressions. Finally, we reflect on the implications according the generalization of the results provided by automatic emotion detection.

Source: IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)

DOI: 10.1109/percomw.2018.8480127

Authors: Damien Dupre, Nicole Andelic, Gawain Morrison, Gary McKeown

Institution: Queen's University Belfast

Language: English

Topic: Emotion and Mood Recognition

Subfield: Experimental and Cognitive Psychology

Field: Psychology

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W2895864857

FWCI: 4.882

Cites: 19

Cited by: 22

Related to: 10