Emotion Recognition-Based Music Playback using ANN in MATLAB

Shivani, Nayini; Pujitha, Mudhigonda; Tejaswini, P.

doi:https://doi.org/10.55041/ijsmt.v2i4.234

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EMOTION RECOGNITION-BASED MUSIC PLAYBACK USING ANN IN MATLAB

AUTHORS:

Nayini Shivani

Mudhigonda Pujitha

P. Tejaswini

Mentor

M. Santhosh Kumar

Affiliation

Department of ECE, Vignan’s institute of Management and TechnologyFor Women, Ghatkesar, Telangana

DOI: 10.55041/ijsmt.v2i4.234

CC BY 4.0 License:

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Abstract

The primary objective of this project is to create a seamless interaction between human emotions and digital responses by detecting emotions through facial images and automatically playing music that reflects the user’s current mood. This system aims to provide a personalized and engaging experience, demonstrating the potential of combining emotion recognition with intelligent media recommendation. The model is trained using well-known facial expression datasets such as JAFFE, enabling it to classify emotions into categories like happiness, sadness, anger, and neutrality. To complement this, a curated collection of music sourced from PIXABAY is integrated into the system, ensuring that appropriate songs are recommended based on the identified emotion.

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This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.

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