Study of Algorithms and Methods on Emotion Detection from Facial Expressions: A Review from Past Research

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Abstract

Recognizing the emotions of a person’s facial expression gives important information about the person’s attitude and behavior. Understanding this type of expression exactly is a challenging task. There are two aspects of emotion detection. These aspects of emotion detections are based on facial expression and speech recognition. We have studied and analyzed some algorithms already implemented by the researchers on emotion detection based on facial expression. Emotion detection based on expressions of the face is now a new area in many fields such as education, medicine, computer science, and psychology. Human communication interaction researchers also use facial expressions for emotion classification which gives better results to develop new technologies. Some of the feature extraction methods are developed for recognition of facial expressions for real videos in real time and static images. This article provides a review of research work and various algorithms used for emotion detection based on facial expression recognition.

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Gantayat, S. S., & Lenka, S. (2021). Study of Algorithms and Methods on Emotion Detection from Facial Expressions: A Review from Past Research. In Lecture Notes in Networks and Systems (Vol. 134, pp. 231–244). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-15-5397-4_24

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