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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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Issue: May 2024
Volume 9 | Issue 5
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| Paper Title: | Mental health detection using facial emotion recognition |
| Authors Name: | Pavithra |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_209582
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| Published Paper Id: | IJNRD2402169 |
| Published In: | Volume 9 Issue 2, February-2024 |
| DOI: | |
| Abstract: | 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. |
| Keywords: | Facial Expression Recognition, Face Detection, Facial Feature Extraction, Expression Classification, Diverse Datasets. |
| Cite Article: | "Mental health detection using facial emotion recognition", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 2, page no.b554-b593, February-2024, Available :http://www.ijnrd.org/papers/IJNRD2402169.pdf |
| Downloads: | 000118773 |
| 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 |
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Published Paper ID:IJNRD2402169 Registration ID: 209582 Published In: Volume 9 Issue 2, February-2024 DOI (Digital Object Identifier): Page No: b554-b593 Country: Chennai, Tamil Nadu, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2402169 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2402169 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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