How We Perceive Places: Measuring Biomarkers of Stress in Urban Environments Using Personal Exposure Sensors, Deep Learning and Functional Data Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F24%3A00140293" target="_blank" >RIV/00216224:14310/24:00140293 - isvavai.cz</a>
Result on the web
<a href="https://dl.acm.org/doi/10.1145/3675231.3678876" target="_blank" >https://dl.acm.org/doi/10.1145/3675231.3678876</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3675231.3678876" target="_blank" >10.1145/3675231.3678876</a>
Alternative languages
Result language
angličtina
Original language name
How We Perceive Places: Measuring Biomarkers of Stress in Urban Environments Using Personal Exposure Sensors, Deep Learning and Functional Data Analysis
Original language 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10511 - Environmental sciences (social aspects to be 5.7)
Result continuities
Project
<a href="/en/project/LM2023069" target="_blank" >LM2023069: RECETOX Research Infrastructure</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
SAP '24: ACM Symposium on Applied Perception 2024
ISBN
9798400710612
ISSN
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e-ISSN
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Number of pages
3
Pages from-to
1-3
Publisher name
Association for Computing Machinery, Inc
Place of publication
New York
Event location
Dublin (Ireland)
Event date
Aug 30, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001325273000020