EEG-Driven Personal Comfort Model for Cognitive Efficiency in Human-Centric Environments

This study aims to develop a personal comfort model driven by real-time electroencephalogram (EEG) signals for constructing built environments customized to individual emotional states and preferences. EEG signals from a single subject were collected at regular intervals under controlled environment...

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Hlavní autoři:	Se Yeon Kang, Ju Eun Cho, Han Jong Jun
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-09-01
Edice:	Buildings
Témata:	electroencephalography gated recurrent units personal comfort model human–computer interaction
On-line přístup:	https://www.mdpi.com/2075-5309/15/18/3339
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