Emotion Recognition of Students Based on Facial Expressions in Online Education Based on the Perspective of Computer Simulation
Online education has developed rapidly due to its irreplaceable convenience. Under the severe circumstances caused by COVID-19 recently, many schools around the world have delayed opening and adopted online education as one of the main teaching methods. However, the efficiency of online classes has...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/4065207 |
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| _version_ | 1832565986529640448 |
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| author | Weiqing Wang Kunliang Xu Hongli Niu Xiangrong Miao |
| author_facet | Weiqing Wang Kunliang Xu Hongli Niu Xiangrong Miao |
| author_sort | Weiqing Wang |
| collection | DOAJ |
| description | Online education has developed rapidly due to its irreplaceable convenience. Under the severe circumstances caused by COVID-19 recently, many schools around the world have delayed opening and adopted online education as one of the main teaching methods. However, the efficiency of online classes has long been questioned. Compared with traditional face-to-face classes, there is a lack of direct, timely, and effective communication and feedback between teachers and students in the online courses. Previous studies have shown that there is a close and stable relationship between a person’s facial expressions and emotions generally. From the perspective of computer simulation, a framework combining a face expression recognition (FER) algorithm with online courses platforms is proposed in this work. The cameras in the devices are used to collect students’ face images, and the facial expressions are analyzed and classified into 8 kinds of emotions by the FER algorithm. An online course containing 27 students conducted on Tencent Meeting is used to test the proposed method, and the result proved that this method performs robustly in different environments. This framework can also be applied to other similar scenarios such as online meetings. |
| format | Article |
| id | doaj-art-39c5a527a53a4dd1ae36a1b8690cf4fc |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-39c5a527a53a4dd1ae36a1b8690cf4fc2025-02-03T01:05:22ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/40652074065207Emotion Recognition of Students Based on Facial Expressions in Online Education Based on the Perspective of Computer SimulationWeiqing Wang0Kunliang Xu1Hongli Niu2Xiangrong Miao3School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, ChinaSchool of Economics and Management, University of Science and Technology Beijing, Beijing 100083, ChinaSchool of Economics and Management, University of Science and Technology Beijing, Beijing 100083, ChinaBeijing Energy Conservation and Environmental Protection Center, Beijing 101199, ChinaOnline education has developed rapidly due to its irreplaceable convenience. Under the severe circumstances caused by COVID-19 recently, many schools around the world have delayed opening and adopted online education as one of the main teaching methods. However, the efficiency of online classes has long been questioned. Compared with traditional face-to-face classes, there is a lack of direct, timely, and effective communication and feedback between teachers and students in the online courses. Previous studies have shown that there is a close and stable relationship between a person’s facial expressions and emotions generally. From the perspective of computer simulation, a framework combining a face expression recognition (FER) algorithm with online courses platforms is proposed in this work. The cameras in the devices are used to collect students’ face images, and the facial expressions are analyzed and classified into 8 kinds of emotions by the FER algorithm. An online course containing 27 students conducted on Tencent Meeting is used to test the proposed method, and the result proved that this method performs robustly in different environments. This framework can also be applied to other similar scenarios such as online meetings.http://dx.doi.org/10.1155/2020/4065207 |
| spellingShingle | Weiqing Wang Kunliang Xu Hongli Niu Xiangrong Miao Emotion Recognition of Students Based on Facial Expressions in Online Education Based on the Perspective of Computer Simulation Complexity |
| title | Emotion Recognition of Students Based on Facial Expressions in Online Education Based on the Perspective of Computer Simulation |
| title_full | Emotion Recognition of Students Based on Facial Expressions in Online Education Based on the Perspective of Computer Simulation |
| title_fullStr | Emotion Recognition of Students Based on Facial Expressions in Online Education Based on the Perspective of Computer Simulation |
| title_full_unstemmed | Emotion Recognition of Students Based on Facial Expressions in Online Education Based on the Perspective of Computer Simulation |
| title_short | Emotion Recognition of Students Based on Facial Expressions in Online Education Based on the Perspective of Computer Simulation |
| title_sort | emotion recognition of students based on facial expressions in online education based on the perspective of computer simulation |
| url | http://dx.doi.org/10.1155/2020/4065207 |
| work_keys_str_mv | AT weiqingwang emotionrecognitionofstudentsbasedonfacialexpressionsinonlineeducationbasedontheperspectiveofcomputersimulation AT kunliangxu emotionrecognitionofstudentsbasedonfacialexpressionsinonlineeducationbasedontheperspectiveofcomputersimulation AT hongliniu emotionrecognitionofstudentsbasedonfacialexpressionsinonlineeducationbasedontheperspectiveofcomputersimulation AT xiangrongmiao emotionrecognitionofstudentsbasedonfacialexpressionsinonlineeducationbasedontheperspectiveofcomputersimulation |