NEW MUSIC RECOMMENDATION MODEL DESIGN BASED ON EMOTIONAL FACE EXPRESSIONS

Registration ID: IJNRD_218875

Published ID: IJNRD2404637

DOI: Click Here to Get

Dr.D.J.Samatha naidu , K.Venkata Ramya , K.Reshma

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We propose a new approach for playing music automatically using facial emotion. Most of the existing approaches involve playing music manually, using wearable computing devices, or classifying based on audio features. Instead, we propose to change the manual sorting and playing. We have used a Convolutional Neural Network for emotion detection. For music recommendations, Pygame & Tkinter are used. Our proposed system tends to reduce the computational time involved in obtaining the results and the overall cost of the designed system, thereby increasing the system’s overall accuracy. Testing of the system is done on the FER2013 dataset. Facial expressions are captured using an inbuilt camera. Feature extraction is performed on input face images to detect emotions such as happy, angry, sad, surprise, and neutral. Automatically music playlist is generated by identifying the current emotion of the user. It yields better performance in terms of computational time, as compared to the algorithm in the existing literature.

Published Paper   E-Certificate

Dr.D.J.Samatha naidu, K.Venkata Ramya, & K.Reshma (April-2024). NEW MUSIC RECOMMENDATION MODEL DESIGN BASED ON EMOTIONAL FACE EXPRESSIONS . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), g318-g323. https://ijnrd.org/papers/IJNRD2404637.pdf

Volume 9 Issue 4, April-2024

Pages : g318-g323

Paper Reg. ID: IJNRD_218875

Published Paper Id: IJNRD2404637

Downloads: 000121987

Research Area: Engineering

Country: -, -, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404637.pdf

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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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