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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Vydané v:	Applied acoustics Ročník 206; s. 109306
Hlavní autori:	Manohare, Manish, Rajasekar, E., Parida, Manoranjan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.04.2023
Predmet:	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
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