Comprehensive Review and Analysis on Facial Emotion Recognition: Performance Insights into Deep and Traditional Learning with Current Updates and Challenges
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Abstract
In computer vision and artificial intelligence, automatic facial expression-based emotion identification of humans has become a popular research and industry problem. Recent demonstrations and applications in several fields, ... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Emotion and Mood Recognition · Brain Tumor Detection and Classification · Face recognition and analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (98)
Show source-provided references
1. Selective Transfer Machine for personalized facial expression analysis10.1109/TPAMI.2016.2547397 ↗
2. Face recognition based on deep learning and FPGA for ethnicity identification10.3390/app12052605 ↗
3. Associations between facial emotion recognition and mental health in early adolescence10.3390/ijerph17010330 ↗
4. A review of face recognition technology10.1109/ACCESS.2020.3011028 ↗
5. Automatic facial expression recognition system
6. Improved facial expression recognition based on DWT feature for deep CNN10.3390/electronics8030324 ↗
7. Automatic facial expression recognition based on a deep convolutional-neural-network structure
8. A neural-AdaBoost based facial expression recognition system10.1016/j.eswa.2013.11.041 ↗
9. Facial expression recognition using geometric features
10. Research on face recognition classification based on improved GoogLeNet
11. A comparative study on facial expression recognition using local binary patterns, convolutional neural network and frequency neural network10.1007/s11042-023-14753-y ↗
12. Facial expression recognition by DE-expression residue learning
13. Automatic facial expression recognition system using deep network-based data fusion10.1109/TCYB.2016.2625419 ↗
14. Survey on real-time facial expression recognition techniques10.1049/iet-bmt.2014.0104 ↗
15. Facial expression recognition using enhanced local binary patterns
16. Development of a robust multi-scale featured local binary pattern for improved facial expression recognition10.3390/s20185391 ↗
17. Extended local binary patterns for efficient and robust spontaneous facial micro-expression recognition10.1109/ACCESS.2019.2942358 ↗
18. Deep sparse representation classifier for facial recognition and detection system10.1016/j.patrec.2019.03.006 ↗
19. A survey on deep learning algorithms in facial emotion detection and recognition
20. Facial expression recognition based on deep learning10.1016/j.cmpb.2022.106621 ↗
21. Deep learning and machine learning based facial emotion detection using CNN
22. An efficient deep learning technique for facial emotion recognition10.1007/s11042-021-11298-w ↗
23. Impact of deep learning approaches on facial expression recognition in healthcare industries10.1109/TII.2022.3141400 ↗
24. Facial emotion recognition in verbal communication based on deep learning10.3390/s22166105 ↗
25. Deep learning for facial emotion recognition using custom CNN architecture
26. Automated facial expression recognition framework using deep learning10.1155/2022/5707930 ↗
27. Optimal facial feature based emotional recognition using deep learning algorithm10.1155/2022/8379202 ↗
28. Real-time facial expression recognition using deep learning with application in the active classroom environment10.3390/electronics11081240 ↗
29. Real time face detection and facial expression recognition: Development and applications to human computer interaction
30. Survey on facial expression recognition: History, applications, and challenges10.1109/MMUL.2021.3107862 ↗
31. Facial expression recognition intelligent security system for real time surveillance
32. Classification of user satisfaction using facial expression recognition and machine learning
33. Facial expression recognition using decision trees
34. Facial expression recognition system using KNN
35. Facial expression classification using KNN and decision tree classifiers
36. Facial expression classification based on SVM, KNN and MLP classifiers
37. Automatic emotion detection using SVM-based optimal kernel function
38. FER_ML: Facial emotion recognition using machine learning10.21608/jocc.2023.282094 ↗
39. Facial expression recognition model depending on optimized SVM
40. GA-SVM-based facial emotion recognition using facial geometric features10.1109/JSEN.2020.3028075 ↗
41. Action unit classification for facial expression recognition using active learning and SVM10.1007/s11042-021-10836-w ↗
42. Facial emotion images recognition based on binarized genetic algorithm-random forest10.21123/bsj.2024.9698 ↗
43. A framework for recognition of facial expression using HOG features
44. Varma · Techno-Societal 2018 · 2020 · 10910.1007/978-3-030-16848-3_11 ↗
45. Facial expression recognition using histogram of oriented gradients based transformed features10.1007/s10586-017-0921-5 ↗
46. Spontaneous versus posed smile recognition via region-specific texture descriptor and geometric facial dynamics10.1631/FITEE.1600041 ↗
47. Facial emotion recognition using NLPCA and SVM10.18280/ts.360102 ↗
48. Automatic facial expression recognition based on MobileNetV2 in Real-time10.1088/1742-6596/1549/2/022136 ↗
49. A-MobileNet: An approach of facial expression recognition10.1016/j.aej.2021.09.066 ↗
50. Universal model for facial expression detection using convolutional neural network10.1063/5.0221449 ↗
51. Enhanced real-time facial expression recognition using deep learning10.56578/ataiml030103 ↗
52. Facial expression recognition based on improved VGG convolutional neural network10.1088/1742-6596/2083/3/032030 ↗
53. Facial emotion recognition based real-time learner engagement detection system in online learning context using deep learning models10.1007/s11042-022-13558-9 ↗
54. A real time face emotion classification and recognition using deep learning model10.1088/1742-6596/1432/1/012087 ↗
55. Facial expression recognition via ResNet-50
56. Facial expression recognition using residual masking network
57. Facial expression recognition using local gravitational force descriptor-based deep convolution neural networks10.1109/TIM.2020.3031835 ↗
58. Facial emotion recognition using convolutional neural networks (FERC)10.1007/s42452-020-2234-1 ↗
59. Facial emotion recognition using Transfer Learning in the Deep CNN10.3390/electronics10091036 ↗
60. Deep-emotion: Facial expression recognition using attentional convolutional network10.3390/s21093046 ↗
61. Facial emotion recognition using deep convolutional neural network
62. Facial emotion detection using deep learning
63. Deep learning-based facial emotion recognition for human-computer interaction applications10.1007/s00521-021-06012-8 ↗
64. Masked face emotion recognition based on facial landmarks and deep learning approaches for visually impaired people10.3390/s23031080 ↗
65. A comprehensive survey on deep facial expression recognition: Challenges, applications, and future guidelines10.1016/j.aej.2023.01.017 ↗
66. Real-time facial emotion recognition system among children with autism based on deep learning and IoT10.1007/s00521-023-08372-9 ↗
67. Facial emotion recognition using convolutional neural networks
68. A study on computer vision for facial emotion recognition
69. Facial emotion recognition using Handcrafted features and CNN10.1016/j.procs.2023.01.108 ↗
70. Enhanced spatial-temporal learning network for dynamic facial expression recognition10.1016/j.bspc.2023.105316 ↗
71. Survey on facial expressions recognition: Databases, features and classification schemes10.1007/s11042-023-15139-w ↗
72. PAtt-Lite: Lightweight patch and attention MobileNet for challenging facial expression recognition10.1109/ACCESS.2024.3407108 ↗
73. Face expression recognition master using convolutional neural network10.1063/5.0217855 ↗
74. Hierarchical attention network with progressive feature fusion for facial expression recognition10.1016/j.neunet.2023.11.033 ↗
75. Deep learning-based face detection and recognition on drones10.1007/s12652-022-03897-8 ↗
76. Context transformer and adaptive method with visual transformer for robust facial expression recognition
77. Facial emotion recognition based on selective kernel network10.1615/JFlowVisImageProc.2023048881 ↗
78. Cross-centroid ripple pattern for facial expression recognition
79. Mixed emotion recognition through facial expression using transformer-based model
80. Hybrid facial emotion recognition using CNN-based features10.3390/app13095572 ↗
81. Hybrid approach for facial expression recognition using convolutional neural networks and SVM
82. Facial emotion recognition using hybrid features10.3390/informatics7010006 ↗
83. Facial expression recognition based on a hybrid model combining deep and shallow features10.1007/s12559-019-09654-y ↗
84. Accurate computing of facial expression recognition using a hybrid feature extraction technique10.1007/s11227-020-03468-8 ↗
85. Hybrid-deep learning model for emotion recognition using facial expressions10.1007/s12626-020-00061-6 ↗
86. A new hybrid approach for efficient emotion recognition using deep learning10.37391/IJEER.100103 ↗
87. Facial expression recognition using hybrid features of pixel and geometry10.1109/ACCESS.2021.3054332 ↗
88. Emotion recognition using hybrid Gaussian mixture model and deep neural network10.1109/ACCESS.2019.2901352 ↗
89. Cross-subject multimodal emotion recognition based on hybrid fusion10.1109/ACCESS.2020.3023871 ↗
90. Learning affective video features for facial expression recognition via hybrid deep learning10.1109/ACCESS.2019.2901521 ↗
91. Deep hybrid learning for facial expression binary classifications and predictions10.1016/j.imavis.2022.104573 ↗
92. The extended cohn-kanade dataset (CK+): A complete dataset for action unit and emotion-specified expression
93. The Japanese female facial expression (JAFFE) dataset
94. M. Sambare, “FER-2013: Facial expression recognition dataset. Kaggle,” 2013. Accessed: Nov. 25, 2024. [Online]. Available: https://www.kaggle.com/datasets/msambare/fer2013
95. Karolinska directed emotional faces10.1037/t27732-000 ↗
96. Reliable crowdsourcing and deep locality-preserving learning for expression recognition in the wild
97. The MUG facial expression database
98. Web-based database for facial expression analysis