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Emotion recognition being one of the hot topics of many research efforts and being useful in so many commercial and scientific fields. Emotion recognition concerns the extraction of facial features from static facial images and classifying the facial expressions namely, happy, sad, disgust, surprise, fear, and anger. Facial expressions are non verbal approach for communicating information between one people to another. Emotion in images is one of the powerful sources of high-level semantics. Human facial emotion recognition can be used for recognizing expression occurring in a people faces. The effective and efficient methods are needed for recognizing the emotions of human. The goal of this work is to study various existing recognition methods of FER system. In this research, presents a detailed insight on existing works and the methodologies used by researchers for recognizing the human expressions. Comparison among different human facial emotions by similarity systems is particularly challenging owing to the great variety of techniques implemented to represent likeness and the dependence that the results presented of the used image dataset. This will be helpful to the researchers for their future research direction in this area.
Keywords:
Preprocessing, Face detection, Feature Extraction, Classification, Facial Emotion Recognition
Cite Article:
"A REVIEW ON HUMAN FACIAL EMOTION RECOGNITION SYSTEM", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 8, page no.385 - 390, August-2023, Available :http://www.ijrti.org/papers/IJRTI2308063.pdf
Downloads:
000205075
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator