How We Perceive Places: Measuring Biomarkers of Stress in Urban Environments Using Personal Exposure Sensors, Deep Learning and Functional Data Analysis
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.
Authors
- Marketa Makarova (ORCID: https://orcid.org/0009-0005-9313-4386)
- Veronika Eclerová (ORCID: https://orcid.org/0000-0001-8476-7740)
- Stanislav Sobolevsky (ORCID: https://orcid.org/0000-0001-6281-0656)
- Filip Zlámal (ORCID: https://orcid.org/0000-0003-2257-2643)
- Ondřej Mulíček (ORCID: https://orcid.org/0000-0001-6887-0764)
- Devashish Khulbe (ORCID: https://orcid.org/0000-0002-6436-8969)
- Julie Bienertová Vašků (ORCID: https://orcid.org/0000-0001-5327-808X)
- Ondřej Mikeš (ORCID: https://orcid.org/0000-0003-3633-737X)
- Radim Lískovec (ORCID: https://orcid.org/0000-0002-5551-3714)
- Tadeáš Dvořák (ORCID: https://orcid.org/0000-0002-0423-5259)
- Tomáš Pompa
- David Gorný (ORCID: https://orcid.org/0000-0002-8595-1723)
- Pavel Morcinek (ORCID: https://orcid.org/0009-0001-9895-1677)
- О. В. Малина
Institutions
- Masaryk University (CZ)
Publication Details
- Published
- 2024-08-22
- DOI
- https://doi.org/10.1145/3675231.3678876
- Primary Topic
- Air Quality Monitoring and Forecasting
- Type
- article
- Field-Weighted Citation Impact
- 0.00