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title

Music Mood Detection Using EEG

Author(s):

Vrushabh S. Katariya

Keywords:

EEG, Electrodes, Emotion Recognition, Fractal Dimension algorithm, Arousal-Valence model, Audio Properties

Abstract

Human emotions classification based on electroencephalogram (EEG) is discussed in this paper. An EEG is a test used to evaluate the electrical activity in the brain. Brain cells communicate with each other through electrical impulses. An EEG tracks and records brain wave patterns. Small flat metal discs called Electrodes are attached to the scalp with wires. Since emotions play an important role in the daily life of human beings, the need and importance of automatic emotion recognition has grown with increasing role of human computer interface applications. Emotion recognition could be done from the text, speech(tone), facial expressions or gestures. This paper is concentrated on recognition of “inner” emotions from electroencephalogram (EEG) signals. Analysis of human mood can be done using real-time fractal dimension based algorithm of quantification of basic emotions using Arousal-Valence emotion model, whereas, using algorithm which analyzes the audio properties, features can be extracted for generating automatic playlists representing different moods.

Other Details

Paper ID: IJSARTV
Published in: Volume : 4, Issue : 1
Publication Date: 1/31/2018

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