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Title: :  REAL TIME HUMAN FACE EXPRESSION RECOGNITION
PaperId: :  20214
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 3 2023
DUI:    16.0415/IJARIIE-20214
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Priyanka RasalSapkal College of Engineering Nashik, Maharashtra, India
Tejas PagarSapkal College of Engineering Nashik, Maharashtra, India
Kareena MoreSapkal College of Engineering Nashik, Maharashtra, India
Adil TamboliSapkal College of Engineering Nashik, Maharashtra, India

Abstract

Computer Engineering
Facial expression recognition, Convolutional Neural Networks, FER2013 dataset, Emotion recognition, Image classification, Human-computer interaction, Computer vision.
This study proposes a system for facial expression recognition using Convolutional Neural Networks (CNNs) trained on the FER2013 dataset. The objective is to accurately classify human emotions from facial expressions, including anger, disgust, fear, happiness, sadness, surprise, and neutral. The CNN model is trained on FER2013, a dataset that contains over 35,000 labeled images of human faces displaying one of the seven emotions. The CNN model extracts features from the input image using convolutional and pooling layers, followed by fully connected layers for emotion prediction. The model is trained by adjusting the weights to minimize the difference between the predicted and true emotions. The system is evaluated using a separate set of data called the validation set. The validation accuracy of the proposed system was found to be 60%. Facial expression recognition using CNNs has numerous applications, such as in human computer interaction, virtual reality, and security systems. However, challenges remain in handling variations in lighting, pose, and occlusion, which can affect the accuracy of the system. The proposed system contributes to the field of computer vision by offering a viable approach for emotion recognition and has the potential to be further developed for real-world applications.

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IJARIIE Priyanka Rasal, Tejas Pagar, Kareena More, and Adil Tamboli. "REAL TIME HUMAN FACE EXPRESSION RECOGNITION" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 3 2023 Page 1297-1303
MLA Priyanka Rasal, Tejas Pagar, Kareena More, and Adil Tamboli. "REAL TIME HUMAN FACE EXPRESSION RECOGNITION." International Journal Of Advance Research And Innovative Ideas In Education 9.3(2023) : 1297-1303.
APA Priyanka Rasal, Tejas Pagar, Kareena More, & Adil Tamboli. (2023). REAL TIME HUMAN FACE EXPRESSION RECOGNITION. International Journal Of Advance Research And Innovative Ideas In Education, 9(3), 1297-1303.
Chicago Priyanka Rasal, Tejas Pagar, Kareena More, and Adil Tamboli. "REAL TIME HUMAN FACE EXPRESSION RECOGNITION." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 3 (2023) : 1297-1303.
Oxford Priyanka Rasal, Tejas Pagar, Kareena More, and Adil Tamboli. 'REAL TIME HUMAN FACE EXPRESSION RECOGNITION', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, 2023, p. 1297-1303. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/REAL_TIME_HUMAN_FACE_EXPRESSION_RECOGNITION_ijariie20214.pdf (Accessed : ).
Harvard Priyanka Rasal, Tejas Pagar, Kareena More, and Adil Tamboli. (2023) 'REAL TIME HUMAN FACE EXPRESSION RECOGNITION', International Journal Of Advance Research And Innovative Ideas In Education, 9(3), pp. 1297-1303IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/REAL_TIME_HUMAN_FACE_EXPRESSION_RECOGNITION_ijariie20214.pdf (Accessed : )
IEEE Priyanka Rasal, Tejas Pagar, Kareena More, and Adil Tamboli, "REAL TIME HUMAN FACE EXPRESSION RECOGNITION," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, pp. 1297-1303, May-Jun 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/REAL_TIME_HUMAN_FACE_EXPRESSION_RECOGNITION_ijariie20214.pdf [Accessed : ].
Turabian Priyanka Rasal, Tejas Pagar, Kareena More, and Adil Tamboli. "REAL TIME HUMAN FACE EXPRESSION RECOGNITION." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 3 ().
Vancouver Priyanka Rasal, Tejas Pagar, Kareena More, and Adil Tamboli. REAL TIME HUMAN FACE EXPRESSION RECOGNITION. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(3) : 1297-1303. Available from: https://ijariie.com/AdminUploadPdf/REAL_TIME_HUMAN_FACE_EXPRESSION_RECOGNITION_ijariie20214.pdf
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