Paper Title
FACIAL EXPRESSION DETECTION USING CNN ALGORITHM
Article Identifiers
Authors
Shreyas Koklegaonkar , K Harshith Srinivas , Rishikesh Nimker , K Deepa Rao
Keywords
Facial Expression, Machine Learning, Deep Learning, SVM(Support Vector Machine), FER, Convolutional Neural Network, Accuracy Optimization.
Abstract
This project introduces a real-time facial expression detection system developed in Python. It focuses on the importance of accurately detecting facial expressions for applications like human-computer interaction, emotion analysis, and psychology research. The system utilizes Python's image processing and machine learning capabilities to address the challenge of real-time detection and classification of facial expressions. It integrates advanced computer vision techniques to capture, preprocess, and analyze facial images from video streams. Additionally, the system is optimized for efficient performance across different hardware setups, making it suitable for real-world applications. It focuses on the importance of accurately detecting facial expressions for applications like human-computer interaction, emotion analysis, and psychology research. The system utilizes Python's image processing and machine learning capabilities to address the challenge of real-time detection and classification of facial expressions.
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How To Cite (APA)
Shreyas Koklegaonkar , K Harshith Srinivas, Rishikesh Nimker, & K Deepa Rao (July-2024). FACIAL EXPRESSION DETECTION USING CNN ALGORITHM. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(7), a1-a5. https://ijnrd.org/papers/IJNRD2407001.pdf
Issue
Volume 9 Issue 7, July-2024
Pages : a1-a5
Other Publication Details
Paper Reg. ID: IJNRD_221432
Published Paper Id: IJNRD2407001
Downloads: 000121979
Research Area: Electronics & Communication Engg.Â
Country: Hyderabad, Telangana, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2407001.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2407001
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.
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Current Issue: Volume 10 | Issue 10 | October 2025
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