Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering
U. P. Kulkarni
Shri Dharmasthala Manjunatheshwara College of Engineering and Technology
Computer Science & IT Electrical & Electronics Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Modeling music-induced emotional responses using synthetic electroencephalography data Rashmi Athanikar; Vidyagouri Kulkarni; U. P. Kulkarni; Sumpreetsing Rajaput
International Journal of Electrical and Computer Engineering (IJECE) Vol 16, No 5: October 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v16i5.pp2595-2606

Abstract

Music has a significant influence on human emotions; however, understanding its underlying neural mechanisms remains a complex challenge. This study investigates music-induced emotional responses using synthetically generated electroencephalography (EEG) signals. A controlled synthetic EEG dataset is developed to simulate brain activity across diverse demographic groups exposed to self-selected musical preferences. The generated signals undergo preprocessing, feature extraction, and classification using machine learning and deep learning models. Experimental results indicate that synthetic EEG signals can capture distinguishable emotional patterns, achieving a classification accuracy of 58.55% under multi-class conditions. Although the study does not replace real EEG analysis, it provides a scalable and reproducible framework for controlled experimentation. The findings highlight the potential of synthetic data in affective computing and brain–computer interface research, particularly in scenarios where real EEG acquisition is constrained.
Co-Authors Rashmi Athanikar Sumpreetsing Rajaput Vidyagouri Kulkarni