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  Published Paper Details:

  Paper Title

HUMAN EMOTION DETECTION USING HAAR-CASCADE AND CNN

  Authors

  NAGAMANIKANTA KRISHNA JYOTHULA,  NALINI PRASAD TIRUMANI,  CHANDINI KAYALA,  AAKAASH CHOWDARY MALEMPATI,  MANURU VENKATA SATYASRI ABHINAV

  Keywords

Face Expression Recognition, Convolutional Neural Networks, Haar-cascade, FER-2013 data set

  Abstract


In this research, we present a method for teaching convolutional neural networks to recognize facial expressions in a computer (CNN) and Haar cascade method is used to detect the face before emotion recognition. The datasets from FER-2013 were utilized to train the CNN algorithm. This achieves a decent level of accuracy for training and testing points. This work makes use of the FER-2013 expression data set, which includes seven facial expression labels (happy, sad, surprised, fear, anger, disgust, and neutral). This system managed to achieve an acceptable level of accuracy.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2303338

  Paper ID - 232527

  Page Number(s) - c969-c975

  Pubished in - Volume 11 | Issue 3 | March 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  NAGAMANIKANTA KRISHNA JYOTHULA,  NALINI PRASAD TIRUMANI,  CHANDINI KAYALA,  AAKAASH CHOWDARY MALEMPATI,  MANURU VENKATA SATYASRI ABHINAV,   "HUMAN EMOTION DETECTION USING HAAR-CASCADE AND CNN", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 3, pp.c969-c975, March 2023, Available at :http://www.ijcrt.org/papers/IJCRT2303338.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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