Name
Title | ||
|---|---|---|
Conditional generative adversarial network for EEG-based emotion fine-grained estimation and visualization |
Abstract | ||
|---|---|---|
•The AC-GAN generates facial expressions with fine-grained emotional information.•It is difficult to give a fine label for the EEG data.•The generator of the AC-GAN learns the distribution characteristics of emotional EEG.•The fine-grained mapping relationship between EEG data and facial expressions. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.jvcir.2020.102982 | Journal of Visual Communication and Image Representation |
Keywords | DocType | Volume |
Affective computing,Electroencephalography,Generative adversarial network,Fine-grained | Journal | 74 |
ISSN | Citations | PageRank |
1047-3203 | 1 | 0.34 |
References | Authors | |
0 | 6 | |