Human emotion recognition using intelligent approaches: A review

被引:7
作者
Chowdary, M. Kalpana [1 ]
Hemanth, D. Jude [1 ]
机构
[1] Karunya Inst Technol & Sci, Dept ECE, Coimbatore, Tamil Nadu, India
来源
INTELLIGENT DECISION TECHNOLOGIES-NETHERLANDS | 2019年 / 13卷 / 04期
关键词
Emotions; computer vision; e-tutoring; feature extraction; pitch; speech recognition; FACIAL EXPRESSION RECOGNITION; NEURAL-NETWORK; FEATURE-EXTRACTION; SPEECH;
D O I
10.3233/IDT-190101
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Emotions are the natural and easiest way of communication between human beings and also plays a prominent role in day to day life. In current scenario, emotion recognition is the latest challenge in Human Computer Interaction (HCI) and affective computing. An extensive research has been addressed over the past two decades but accuracy and real time analysis are still some challenges in this field. Emotion recognition is useful in various fields such as intelligent automobile systems, medical diagnosis, security, e-tutoring and marketing. This survey paper will review the research works carried out in the fields of human emotion detection from facial images, speech and brain signals. This paper also provides an outline of the areas where emotion recognition is more required.
引用
收藏
页码:417 / 433
页数:17
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