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)
In computer vision and machine learning, emotion detection is a crucial field of research. In this project, a machine learning model is developed to recognize facial expressions of various emotions using a dataset of facial images. The FER2013 dataset is pre-processed and augmented to increase the variety of facial expressions and used for training the machine learning model with a Convolutional Neural Network architecture. The model is built using a convolutional neural network (CNN) with various layers that extract features from the images. The GUI(Graphical User Interface) is designed to allow users to input images for emotion detection or access live camera feeds for real-time emotion detection. The system also utilizes the Haar Cascade algorithm, for facial detection. The results of the emotion detection are displayed on the GUI in a user-friendly manner. The proposed system can have various applications in areas such as psychology, human-computer interaction, and entertainment.
Keywords:
Emotion Detection, Facial Images, Haar Cascade Algorithm, Machine Learning, Graphical User Interface, Real-Time Detection.
Cite Article:
"EMOTION DETECTOR", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.d298-d303, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305341.pdf
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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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