ArticleScientific reports2023
A study on computer vision for facial emotion recognition.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Actor-critic guided CDBN with GAN augmentation for robust facial emotion recognition.MethodsX · 2026Article
- Near-Field Radio-Frequency for Real-Time Facial Expression Recognition.IEEE access : practical innovations, open solutions · 2026Article
- An Explainable Framework for Mental Health Monitoring Using Lightweight and Privacy-Preserving Federated Facial Emotion Recognition.Sensors (Basel, Switzerland) · 2025Article
- Feasibility of an AI-Enabled Smart Mirror Integrating MA-rPPG, Facial Affect, and Conversational Guidance in Realtime.Sensors (Basel, Switzerland) · 2025Article
- Cross-modal gated feature enhancement for multimodal emotion recognition in conversations.Scientific reports · 2025Article
- Emotion estimation from video footage with LSTM.Frontiers in neurorobotics · 2025Article
- A real-time environmental translator for emotion recognition in autism spectrum disorder.Scientific reports · 2024Article
- Accuracy of cephalometric landmark and cephalometric analysis from lateral facial photograph by using CNN-based algorithm.Scientific reports · 2024Article
- An Ensemble Deep Learning Approach for EEG-Based Emotion Recognition Using Multi-Class CSP.Biomimetics (Basel, Switzerland) · 2024Article
- An Innovative Neighbor Attention Mechanism Based on Coordinates for the Recognition of Facial Expressions.Sensors (Basel, Switzerland) · 2024Article
- Comprehensive comparison between vision transformers and convolutional neural networks for face recognition tasks.Scientific reports · 2024Article
- A review on the efficacy of artificial intelligence for managing anxiety disorders.Frontiers in artificial intelligence · 2024Review
- Contextual emotion detection in images using deep learning.Frontiers in artificial intelligence · 2024Article
- Recognition of facial emotion based on SOAR model.Frontiers in neuroscience · 2024Article
- A Hybrid Learning-Architecture for Mental Disorder Detection Using Emotion Recognition.IEEE access : practical innovations, open solutions · 2024Article
- FacialNet: facial emotion recognition for mental health analysis using UNet segmentation with transfer learning model.Frontiers in computational neuroscience · 2024Article
- Artificial Intelligence Methods for the Construction and Management of Buildings.Sensors (Basel, Switzerland) · 2023Review
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence has been successfully applied in various fields, one of which is computer vision. In this study, a deep neural network (DNN) was adopted for Facial emotion recognition (FER). One of the objectives in this study is to identify the critical facial features on which the DNN model focuses for FER. In particular, we utilized a convolutional neural network (CNN), the combination of squeeze-and-excitation network and the residual neural network, for the task of FER. We utilized AffectNet and the Real-World Affective Faces Database (RAF-DB) as the facial expression databases that provide learning samples for the CNN. The feature maps were extracted from the residual blocks for further analysis. Our analysis shows that the features around the nose and mouth are critical facial landmarks for the neural networks. Cross-database validations were conducted between the databases. The network model trained on AffectNet achieved 77.37% accuracy when validated on the RAF-DB, while the network model pretrained on AffectNet and then transfer learned on the RAF-DB results in validation accuracy of 83.37%. The outcomes of this study would improve the understanding of neural networks and assist with improving computer vision accuracy.
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