Deep learning-based facial emotion recognition for human–computer interaction applications

• Published in: Neural computing & applications Vol. 35; no. 32; pp. 23311 - 23328
• Main Authors: Chowdary, M. Kalpana, Nguyen, Tu N., Hemanth, D. Jude
• Format: Journal Article
• Language: English
• Published: London Springer London 01.11.2023; Springer Nature B.V
• Subjects: Artificial Intelligence; Classification; Computational Biology/Bioinformatics; Computational Science and Engineering; Computer Science; Data Mining and Knowledge Discovery; Deep learning; Emotion recognition; Emotions; Feature extraction; Image Processing and Computer Vision; Machine learning; Optimization; Probability and Statistics in Computer Science; Special issue on Human-in-the-loop Machine Learning and its Applications; Resnet50; VGG 19; MobileNet; Transfer learning; Inception V3; Human–computer interaction

One of the most significant fields in the man–machine interface is emotion recognition using facial expressions. Some of the challenges in the emotion recognition area are facial accessories, non-uniform illuminations, pose variations, etc. Emotion detection using conventional approaches having the...