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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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| Paper Title: | Emotify-Emotion Based Music Player |
| Authors Name: | Mohd Areeb , Ritik Sahu , Sakshi Singh , Sanyam Jain , Ajay Kumar |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_195138
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| Published Paper Id: | IJNRD2305381 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | |
| Abstract: | This research paper presents a novel approach to the problem of emotion-based music selection through the development of an emotion-based music player using Convolutional Neural Networks (CNNs) for facial expression recognition. Emotions play a significant role in music selection, and this project aims to bridge the gap between emotions and music by creating an app that can detect a user's facial expression through a webcam interface and suggest relevant songs based on the detected emotion. The project extensively studies emotions, exploring their psychological, physiological, neurological, and cognitive aspects. Through a literature review, previous research papers on emotion detection using CNNs are examined, highlighting the effectiveness of CNNs in classifying emotions from facial expressions. The methodology involves the development of an app that utilises OpenCV for face detection and a CNN model trained on the FER2013 dataset for emotion classification. The app maps the detected emotion to the respective music genre and provides relevant song suggestions to create a calming effect on the user's mind. The significance of this research lies in its contribution to understanding the role of emotions in music selection and providing a hands-free music streaming service that enhances the user experience. The findings of this project highlight the potential of CNNs in solving emotion-based problems and open doors for further research in affective computing and the intersection of emotions and music. |
| Keywords: | Activity Detection, Face Recognition, Convolutional Neural Network |
| Cite Article: | "Emotify-Emotion Based Music Player", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.d650-d652, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305381.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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Published Paper ID:IJNRD2305381 Registration ID: 195138 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: d650-d652 Country: Ghaziabad, Uttar Pradesh, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305381 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305381 |
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ISSN: 2456-4184
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