Music Therapy by Analyzing EEG Signals

Bulletin of Scientific Research

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Field Value
Title Music Therapy by Analyzing EEG Signals
Creator S, Anusooya
R, Anitha
V, Jean Shilpa
N, Anitha priyadarshini
S.J, Aamira
G, Sowmyaa
Subject EEG
Emotion recognition
Feature extraction
Description The role emotions play in our life is inevitable right from the way we interact with other humans, in our decision-making process and even in the way we see the people around us. In this technological world, human computer interaction is almost everywhere. Right from fingerprint access in our mobile phones to face recognition- based attendance patterns at work places, human computer interaction has formed a strong base in day-today activities of human life. In such human computer interaction, EEG has gathered attention since it can provide simple, cheap, precise methods of emotion recognition. In this proposed work, a Music app is created which plays songs based on the emotion recognized from the given EEG signal. In MATLAB, the trained EEG signals are given and it is further processed to extract the features. The extracted features are classified to find the emotion and the result is sent to the music app. The music app which contains the playlist plays accordingly.
Publisher IOR PRESS
Date 2020-04-20
Type info:eu-repo/semantics/article
Peer-reviewed Article
Format application/pdf
Source Bulletin of Scientific Research; Vol. 2 No. 1 (2020): Volume 2 Issue 1 Year 2020; 9-16
Language eng
Rights Copyright (c) 2020 Anusooya S, Anitha R, Jean Shilpa V, Anitha priyadarshini N, Aamira S.J, Sowmyaa G

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