Automating facial emotion recognition

被引：20

作者：

Gervasi, Osvaldo ^{[1
]}

Franzoni, Valentina ^{[2
]}

Riganelli, Matteo ^{[3
]}

Tasso, Sergio ^{[1
]}

机构：

[1] Univ Perugia, Dept Math & Comp Sci, Via Vanvitelli 1, I-06123 Perugia, Italy

[2] Sapienza Univ Rome, Dept Comp Control & Management Engn, Via Ariosto 20, Rome, Italy

[3] Voc Listricciano 217, I-06055 Papiano, PG, Italy

来源：

WEB INTELLIGENCE | 2019年 / 17卷 / 01期

关键词：

Image recognition; emotion recognition; face detection; machine learning; convolutional neural networks;

D O I：

10.3233/WEB-190397

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The work described in this paper attempts to contribute to one of the most stimulating and promising sectors in the field of emotion recognition, which is health care. Multidisciplinary studies in artificial intelligence, augmented reality, and psychology stressed out the importance of emotions in communication and awareness. The intent is the recognition of human emotions, processing images streamed in real-time from a mobile device. The proposed techniques involve the use of open source libraries of visual recognition and machine learning approaches based on convolutional neural networks (CNN).

引用

页码：17 / 27

页数：11

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