Analysis of facial features for the use of emotion recognition

被引：0

作者：

Kolodziej, Marcin ^{[1
]}

Majkowski, Andrzej ^{[1
]}

Rak, Remigiusz J. ^{[1
]}

Tarnowski, Pawel ^{[1
]}

Pielaszkiewicz, Tomasz ^{[1
]}

机构：

[1] Warsaw Univ Technol, Inst Theory Elect Engn Measurements & Informat Sy, Warsaw, Poland

来源：

PROCEEDINGS OF 19TH INTERNATIONAL CONFERENCE COMPUTATIONAL PROBLEMS OF ELECTRICAL ENGINEERING | 2018年

关键词：

Emotion Recognition; elliptical boundary model; Skin Detection; Face Parts Detection; kNN; SVM; Bagged Trees; EXPRESSIONS;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The article presents a face image classification system for emotion recognition. In the first step skin recognition, using the elliptical boundary model, is performed. Then, the detection of facial features takes place. Next, an algorithm for extracting geometric and anthropometric features, from the face image is activated. Finally, training and testing classifiers are performed. We achieved averaged classification accuracy 57.7% for 6 different emotions (joy, surprise, sadness, anger, fear and disgust) and average accuracy 95.9% for 2 emotions (joy and surprise).

引用

页数：4

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