Comparison of selected off-the-shelf solutions for emotion recognition based on facial expressions

被引：0

作者：

Brodny, Grzegorz ^{[1
]}

Kolakowska, Agata ^{[1
]}

Landowska, Agnieszka ^{[1
]}

Szwoch, Mariusz ^{[1
]}

Szwoch, Wioleta ^{[1
]}

Wrobel, Michal R. ^{[1
]}

机构：

[1] Gdansk Univ Technol, Gdansk, Poland

来源：

2016 9TH INTERNATIONAL CONFERENCE ON HUMAN SYSTEM INTERACTIONS (HSI) | 2016年

关键词：

emotion recognition; affective computing; facial expressions; FACS; FACE;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The paper concerns accuracy of emotion recognition from facial expressions. As there are a couple of ready off-the-shelf solutions available in the market today, this study aims at practical evaluation of selected solutions in order to provide some insight into what potential buyers might expect. Two solutions were compared: FaceReader by Noldus and Xpress Engine by QuantumLab. The performed evaluation revealed that the recognition accuracies differ for photo and video input data and therefore solutions should be matched to the specificity of the application domain.

引用

页码：397 / 404

页数：8

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