Publication details

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

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Authors

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

Year of publication 2024
Type Conference abstract
MU Faculty or unit

Faculty of Science

Citation
Description 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.
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