Mental health detection using facial emotion recognition

Mental health detection using facial emotion recognition

Registration ID: IJNRD_209582

Published ID: IJNRD2402169

DOI: Click Here to Get

Pavithra

Facial Expression Recognition, Face Detection, Facial Feature Extraction, Expression Classification, Diverse Datasets.

The challenge addressed in this project is the development of a comprehensive facial expression recognition system that encompasses three critical components: face detection, facial feature extraction, and expression classification. This project aims to automatically and accurately identify faces in images, extract and represent subtle changes in facial features corresponding to emotional expressions, and classify these expressions, accounting for a range of emotions, including fundamental and complex ones that may vary across cultures. When developing an automatic facial expression recognition system, three primary challenges must be addressed: face detection, facial feature extraction, and expression classification. The core objective of the project is to create a reliable and efficient framework for the classification of facial expressions and to enable the system to discern and categorize these expressions with precision, encompassing a range of emotions from fundamental to complex, accounting for potential cross-cultural variations.The project operates within the domain of Emotion Recognition and Analysis through Facial Expressions. It is concerned with the development of a system that can automatically detect and classify a wide range of emotional states by analyzing facial expressions. Diverse dataset of facial images that depict a wide range of emotional states, including Sad, Anger, Fear, Joy, Disgust, Confused and Surprise is gathered. An exceptional level of accuracy, reaching 96%, has been achieved by the CNN (Convolutional Neural Networks) algorithm in accurately identifying emotions.

Published Paper   E-Certificate

"Mental health detection using facial emotion recognition", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 2, page no.b554-b593, February-2024, Available :https://ijnrd.org/papers/IJNRD2402169.pdf

Volume 9 Issue 2, February-2024

Pages : b554-b593

Paper Reg. ID: IJNRD_209582

Published Paper Id: IJNRD2402169

Downloads: 000121146

Research Area: Computer Science & Technology 

Country: Chennai, Tamil Nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2402169.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2402169

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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