New Technology for Developing Facial Expression Recognition in e-Learning

被引：0

作者：

Wu, Chih-Hung ^{[1
]}

机构：

[1] Natl Taichung Univ Educ, Taichung, Taiwan

来源：

PORTLAND INTERNATIONAL CONFERENCE ON MANAGEMENT OF ENGINEERING AND TECHNOLOGY (PICMET 2016): TECHNOLOGY MANAGEMENT FOR SOCIAL INNOVATION | 2016年

关键词：

SUPPORT VECTOR MACHINES; CLASSIFICATION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This project develops a face expression recognition system based on facial expression features that extracted by FaceSDK in JAFFE database. To verify the performance of our facial expression recognition system, the system was tested on JAFFEE database among static picture environment and randomly moving picture environment, The system can real-time captures participants' facial features several times in one second anti then records the information in database for further analysis. Research results shows that the high performance and generalizability of our system via various machine learning algorithms. We believe that the developed facial expression recognition system with algorithms is an effective mechanism for e-learning system or another research issues.

引用

页码：1719 / 1722

页数：4

共 17 条

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