Affiliation:
1. Shri Ramswaroop Memorial University, India
Abstract
In the field of computer vision, facial expression recognition is an emerging field that looks at visual face data to try and understand human emotions. Facial expression detection and recognition has been popular recently in the research field. The literature is compiled from several credible studies that have been released in the last 10 years. In the recent years, the artificial intelligence has evolved a lot along with which there has been rise in experimenting with various methodologies for facial expression recognition, which has given promising results in accurately identifying and recognizing facial emotions from input modalities like images, text, facial expressions, and physiological signals. However, accurate analysis of basic emotions like anger, happiness, sadness, and fear remains a challenge. This chapter provides valuable insights for researchers interested in advancing facial emotion recognition using machine learning and deep learning techniques.
Reference20 articles.
1. Akintola, A. G., . . .. “Appearance-Based Feature Extraction Techniques for Facial Recognition: Comparative Study,” DAFFODIL INTERNATIONAL UNIVERSITY JOURNAL OF SCIENCE AND TECHNOLOGY, vol. 15, no. 1, 2020.
2. Albraikan. (2022). Intelligent facial expression recognition and classification using optimal deep transfer learning model (Vol. 128). Image and Vision Computing.
3. Human Emotion Detection using Machine Learning Techniques
4. EkmanP.. (2003). Unmasking Face a Guide to Recognizing Emotion from Facial Clue. Malor Books.
5. Facial Expression Recognition: A Review of Trends and Techniques
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