Facial expression recognition based on adaptation of the classifier to videos of the user
In this paper, an approach that can significantly increase the accuracy of facial emotion recognition by adapting the model to the emotions of a particular user (e.g., smartphone owner) is considered. At the first stage, a neural network model, which was previously trained to recognize facial expres...
Saved in:
Main Authors: | E.N. Churaev, A.V. Savchenko |
---|---|
Format: | Article |
Language: | English |
Published: |
Samara National Research University
2023-10-01
|
Series: | Компьютерная оптика |
Subjects: | |
Online Access: | https://www.computeroptics.ru/eng/KO/Annot/KO47-5/470515e.html |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multimodal Emotion Recognition: Emotion Classification Through the Integration of EEG and Facial Expressions
by: Songul Erdem Guler, et al.
Published: (2025-01-01) -
Gender differences in the recognition of emotional faces: are men less efficient?
by: Ana Ruiz-Ibáñez, et al.
Published: (2017-06-01) -
Robust CNN for facial emotion recognition and real-time GUI
by: Imad Ali, et al.
Published: (2024-05-01) -
Facial expression recognition through muscle synergies and estimation of facial keypoint displacements through a skin-musculoskeletal model using facial sEMG signals
by: Lun Shu, et al.
Published: (2025-02-01) -
Effective Facial Expression Recognition System Using Artificial Intelligence Technique
by: Imad S. Yousif, et al.
Published: (2024-12-01)