Electroencephalography based classification of emotions associated with road traffic noise using Gradient boosting algorithm

•A listening experiment is conducted with 14 participants who listened to 14 traffic noise stimuli.•EEG signals are recorded as a psychophysiological response to presented stimuli.•Noise indicators and Gradient boosting algorithmclassify five EEG-based emotion indexes.•High temporal variability make...

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Bibliographic Details

Published in:	Applied acoustics Vol. 206; p. 109306
Main Authors:	Manohare, Manish, Rajasekar, E., Parida, Manoranjan
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.04.2023
Subjects:	Electroencephalography (EEG) Emotion classification Machine learning Psychoacoustic indicators Urban noise scenarios Psychoacoustic indicators Electroencephalography (EEG) Urban noise scenarios Emotion classification Machine learning
ISSN:	0003-682X, 1872-910X
Online Access:	Get full text
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