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  Published Paper Details:

  Paper Title

Face Emotion And Stress Detection Using Machine Learning

  Authors

  Prof Manisha Patil,  Shraddha Mundhe,  Uday Jadhav,  Tanaya Hulavane,  Abhishek Shinde

  Keywords

Images , Face recognition ,CNN ,Stress

  Abstract


Face detection has been a common nowadays. Recognizing emotions from images or videos is an easy task for human eye, but it is very difficult for machines to proves it and it requires many images processing techniques for feature extraction. so here we are introducing a CNN model to train the dataset and a harrcascade algorithm for the object detection. With the help of CNN an input image is filtered through convolution layers to produce a feature map. The Facial expressions are nonverbal form of communication. There are eight universal facial expressions which include: neutral, happy, sadness, anger, contempt, disgust, fear, and surprise. The main motive of this proposed system is to detect the expressions and level of stress.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2307327

  Paper ID - 235337

  Page Number(s) - c792-c794

  Pubished in - Volume 11 | Issue 7 | July 2023

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Prof Manisha Patil,  Shraddha Mundhe,  Uday Jadhav,  Tanaya Hulavane,  Abhishek Shinde,   "Face Emotion And Stress Detection Using Machine Learning", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 7, pp.c792-c794, July 2023, Available at :http://www.ijcrt.org/papers/IJCRT2307327.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
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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