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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 5 | Month- May 2024
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Published Paper Details:
Paper Title
FACIAL EXPRESSION RECOGNITION BASED ON DEEP LEARNING ALGORITHM
Authors
Soundharya.R, Swathi.S, Asfina.A.L
Keywords
Facial expressions, human emotions, deep learning approaches, facial points, HAAR Cascade, Convolutional Neural Network (CNN).
Abstract
Facial expressions play an important role in conveying the emotional states of human beings. Classi?cation of human emotions remains an important and challenging task for many computer vision algorithms. Recently, deep learning approaches have been applied to emotion recognition field due to the discriminative power of Convolutional Neural Network (CNN). In this project, to predict the patient facial expressions automatically using HAAR Cascade and CNN Algorithm. If it is negative emotion, gives an alert message to the doctor. HAAR Cascade algorithm used to extract the facial points of humans. And Convolutional Neural Network (CNN) Algorithm used to predict the human emotions in which matching the feature vectors of trained model then label the emotions. After, classify the emotions if it is positive or negative emotions with improved accuracy.
IJCRT's Publication Details
Unique Identification Number - IJCRT2106034
Paper ID - 205175
Page Number(s) - a228-a234
Pubished in - Volume 9 | Issue 6 | June 2021
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Soundharya.R, Swathi.S, Asfina.A.L, "FACIAL EXPRESSION RECOGNITION BASED ON DEEP LEARNING ALGORITHM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 6, pp.a228-a234, June 2021, Available at :http://www.ijcrt.org/papers/IJCRT2106034.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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