Single- and Multimodal Deep Learning of EEG and EDA Responses to Construction Noise: Performance and Ablation Analyses

The purpose of the study is to investigate human physiological responses to construction noise exposure using deep learning, applying electroencephalography (EEG) and electro-dermal activity (EDA) sensors. Construction noise is a pervasive occupational stressor that affects physiological states and...

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Hlavní autoři:	Md Samdani Azad, Sungchan Lee, Minji Choi
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-11-01
Edice:	Sensors
Témata:	construction noise annoyance detection electroencephalography (EEG) electrodermal activity (EDA) sensors convolutional neural networks (CNN)
On-line přístup:	https://www.mdpi.com/1424-8220/25/21/6775
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