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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Veröffentlicht in:	Applied acoustics Jg. 206; S. 109306
Hauptverfasser:	Manohare, Manish, Rajasekar, E., Parida, Manoranjan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.04.2023
Schlagworte:	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-Zugang:	Volltext
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