Appreciation of Customer Satisfaction Through Analysis Facial Expressions and Emotions Recognition

被引：8

作者：

Bouzakraoui, Moulay Smail ^{[1
]}

Sadiq, Abdelalim ^{[1
]}

Alaoui, Abdessamad Youssfi ^{[2
]}

机构：

[1] Ibn Tofail Univ, Fac Sci, Dept Informat, Kenitra, Morocco

[2] Mohammed V Univ, Natl Sch Comp Sci & Syst Anal, Rabat, Morocco

来源：

PROCEEDINGS OF 2019 IEEE 4TH WORLD CONFERENCE ON COMPLEX SYSTEMS (WCCS' 19) | 2019年

关键词：

Facial expression; customer emotion; face detection; customer behavir; Emotion recognition;

D O I：

10.1109/icocs.2019.8930761

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This article presents the modelling of a system that aims to predict the satisfaction of a customer through his emotions. This system must predict customer's behavior in the decision-making process. For this end, first we extract geometric features form customer's emotional faces, captured from local camera placed near the products. Then, to predict customer satisfaction, we have classified these features using adapted SVM classifier. The kinds of customer's satisfaction are satisfied, not satisfied and neutral. Our system shows a good performance, testing it on the JAFFE dataset.

引用

页码：230 / 234

页数：5

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