INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Facial expressions give important information about people emotions. Understanding facial expressions accurately is one of the challenging tasks for interpersonal relationships. Automatic emotion recognition using facial expressions is an area of interest within various fields as, for instance, computer science, healthcare, bio-engineering and psychology. In this paper we propose a method for automatic emotional recognition from facial expressions by exploiting machine learning techniques. The proposed method is able to classify a facial image under analysis in one of seven different emotions: angry, disgusted, fearful, happy, neutral, sad and surprised. Moreover the proposed method is able to show on the facial images the areas symptomatic of a certain prediction, thus highlighting the characteristics of the face that are related to a particular emotion: in this way the model is able to explain the reason why it predicts a certain emotion.
Keywords:
Face Expressions
Cite Article:
"Face Emotional Detection Using Machine Learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1397 - 1415, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304227.pdf
Downloads:
000337071
Publication Details:
Published Paper ID: IJSDR2304227
Registration ID:205083
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 1397 - 1415
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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