Name
Abstract | ||
|---|---|---|
Analyzing students’ emotions from classroom videos can help both teachers and parents quickly know the engagement of students in class. The availability of high-definition cameras creates opportunities to record class scenes. However, watching videos is time-consuming, and it is challenging to gain a quick overview of the emotion distribution and find abnormal emotions. In this article, we propose... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TVCG.2019.2963659 | IEEE Transactions on Visualization and Computer Graphics |
Keywords | DocType | Volume |
Videos,Data visualization,Visualization,Emotion recognition,Uncertainty,Face,Computer vision | Journal | 27 |
Issue | ISSN | Citations |
7 | 1077-2626 | 7 |
PageRank | References | Authors |
0.39 | 20 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haipeng Zeng | 1 | 53 | 4.05 |
| Xinhuan Shu | 2 | 12 | 0.77 |
| Yanbang Wang | 3 | 9 | 2.81 |
| Yong Wang | 4 | 91 | 14.27 |
| Liguo Zhang | 5 | 23 | 3.41 |
| T.-C. Pong | 6 | 942 | 106.95 |
| Huamin Qu | 7 | 2033 | 115.33 |