An E-learning System With Multifacial Emotion Recognition Using Supervised Machine Learning

被引：23

作者：

Ashwin, T. S. ^{[1
]}

Jose, Jijo ^{[1
]}

Raghu, G. ^{[1
]}

Reddy, G. Ram Mohana ^{[1
]}

机构：

[1] Natl Inst Technol Karnataka, Dept Informat Technol, Mangalore, India

来源：

2015 IEEE SEVENTH INTERNATIONAL CONFERENCE ON TECHNOLOGY FOR EDUCATION (T4E) | 2015年

关键词：

Affective Computing; eLearning; Facial expression recognition; Machine Learning; Active Appearance Model; Local Binary Patterns;

D O I：

10.1109/T4E.2015.21

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

E-Learning systems based on Affective computing are popularly used for emotional/behavioral analysis of the users. Emotions expressed by the user is depicted by detecting the facial expression of the user and accordingly the teaching strategies will be changed. The present eLearning systems mainly focus on the single user face detection. Hence, in this paper, we propose multiuser face detection based eLearning system using support vector machine based supervised machine learning technique. Experimental results demonstrate that the proposed system provides the accuracy of 89% to 100% w.r.t different datasets (LFW, FDDB, and YFD). Further, to improve the speed of emotional feature processing, we used GPU along with the CPU and thereby achieve a speedup factor of 2.

引用

页码：23 / 26

页数：4

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