Call for Papers:Vol.12 Issue.2

Submission
Last date		 28-Apr-2026
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-12,Issue-2. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

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.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

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
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
STATE AWARE MULTI-HOP ROUTING VIA DIGITAL TWIN FOR IOT NETWORKSINTERNET OF THINGS (WSN)PATEL NENSI RAKESHBHAI Download
Unsupervised Contribution-Oriented Learning Model for Social Influence DetectionComputer EngineeringSnehal Mahjaan Download
DESIGN AND IMPLEMENTATION OF A BLUETOOTH-CONTROLLED ROBOTIC CAR USING ARDUINOComputer Mr. Swapnil Sanjay Bafana Download
AI-DRIVEN DEEPFAKE IDENTIFICATION IN REAL TIMEComputer EngineeringPavan Gajanan Bhonde Download
RESQ-BOTComputer Engineering Tiparkar Prathamesh Navnath Download
A Critical Review and Modern Contextualization of the 2009 Distributed Real-Time Computer Network Architecture (DRNA)Computer EngineeringNandishwar EN Download
Block-Chain Based Document Verification System using IPFSComputer EngineeringAkash Santosh Devade Download
A COMPREHENSIVE REVIEW OF DUAL FEATURE-BASED INTRUSION DETECTION SYSTEM FOR IoT NETWORK SECURITYComputer Science and EngineeringShrinidhi Hegde Download
Civica AI: A Politician-Centric Grievance Redressal and Service DirectoryComputer EngineeringKaranjule Dhanashri Bhausaheb Download
A Deep Learning Framework for Mood-Based Music Recommendation via Facial Expression AnalysisComputer Vaibhav Ashok Bhangare Download
GREEN NETWORKING: ENERGY-EFFICIENT PROTOCOLS AND SUSTAINABLE NETWORK DESIGN: A COMPREHENSIVE REVIEWComputer Science and EngineeringPradeep Nayak Download
DIABETIC RETINOPATHY DETECTION USING MACHINE LEARNINGComputer EngineeringSiddharth Shukracharya Rokade Download
PERSONALITY PREDICTION USING MLComputer EngineeringTanvi Dashrath Bhagat Download
Crop Disease Detectioncomputer Mansi Sunil Sansare Download
NEXT-GEN PLANT DISEASE DIAGNOSIS WITH GEN-AI AND DEEP LEARNINGComputer ScienceGuruprasad K Download
12