Improving Facial Expression Recognition Through Data Preparation and Merging
Human emotions present a major challenge for artificial intelligence. Automated emotion recognition based on facial expressions is important to robotics, medicine, psychology, education, security, arts, entertainment and more. Deep learning is promising for capturing complex emotional features. Howe...
| Main Authors: | Christian Mejia-Escobar, Miguel Cazorla, Ester Martinez-Martin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10177163/ |
Similar Items
-
Separable convolutional neural networks for facial expressions recognition
by: Andry Chowanda
Published: (2021-10-01) -
Image-based facial emotion recognition using convolutional neural network on emognition dataset
by: Erlangga Satrio Agung, et al.
Published: (2024-06-01) -
A Survey of Video Analysis Based on Facial Expression Recognition
by: Paul Díaz, et al.
Published: (2023-08-01) -
Editorial: Facial Expression Recognition and Computing: An Interdisciplinary Perspective
by: Ke Zhao, et al.
Published: (2022-05-01) -
Ad-Corre: Adaptive Correlation-Based Loss for Facial Expression Recognition in the Wild
by: Ali Pourramezan Fard, et al.
Published: (2022-01-01)