How We Perceive Places: Measuring Biomarkers of Stress in Urban Environments Using Personal Exposure Sensors, Deep Learning and Functional Data Analysis

Varování

Publikace nespadá pod Fakultu sportovních studií, ale pod Přírodovědeckou fakultu. Oficiální stránka publikace je na webu muni.cz.

Autoři	DVOŘÁK Tadeáš MAKAROVÁ Markéta KHULBE Devashish LÍSKOVEC Radim MALINA Ondřej GORNÝ David MORCINEK Pavel POMPA Tomáš MIKEŠ Ondřej ECLEROVÁ Veronika ZLÁMAL Filip SOBOLEVSKY Stanislav MULÍČEK Ondřej DOBROVOLNÁ Julie
Rok publikování	2024
Druh	Článek ve sborníku
Konference	SAP '24: ACM Symposium on Applied Perception 2024
Fakulta / Pracoviště MU	Přírodovědecká fakulta
Citace
www	https://dl.acm.org/doi/10.1145/3675231.3678876
Doi	http://dx.doi.org/10.1145/3675231.3678876
Klíčová slova	urban environment; stress; high-level visual features; image segmentation; LSTM neural networks; functional data analysis
Popis	This study investigates the impact of visual stimuli and other environmental factors in urban settings on physiological markers of stress. Forty-four participants walked a predefined urban route while wearable sensors recorded street-level noise, air pollutants, and video footage. Stress responses were measured via heart rate, heart rate variability, and electrodermal activity. Urban scenes were categorized using the SegFormer model, and an LSTM model was applied to predict stress markers. Functional data analysis provided an interpretable model of heart rate responses to environmental variables. Data collection and analyses are ongoing.
Související projekty:	CETOCOEN Excellence CETOCOEN Excellence Stress of Citizens and Entropy in Urban Setting Výzkumná infrastruktura RECETOX