The Feasibility of Integrating Wearable Cameras and Health Trackers for Measuring Personal Exposure to Urban Features: A Pilot Study in Roskilde, Denmark

Zhaoxi Zhang, Prince Michael Amegbor and Clive Eric Sabel
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Zhaoxi Zhang: BERTHA - The Danish Big Data Centre for Environment and Health, Aarhus University, Denmark & Department of Environmental Science, Environmental Social Science and Geography, Aarhus University, Roskilde, Denmark
Prince Michael Amegbor: BERTHA - The Danish Big Data Centre for Environment and Health, Aarhus University, Denmark & Global Environmental Public Health, School of Global Public Health, New York University, New York City, USA
Clive Eric Sabel: BERTHA - The Danish Big Data Centre for Environment and Health, Aarhus University, Denmark & Department of Pubic Health, Aarhus University, Denmark & Health Research Institute, University of Canberra, Canberra, Australia

International Journal of E-Planning Research (IJEPR), 2022, vol. 11, issue 1, 1-21

Abstract: Built environment factors such as greenery, walkability, and crowd density are related to physical activity and mental health. New emerging wearable sensors provide an opportunity to objectively monitor human exposure to street-level urban features. However, very few studies have demonstrated how to objectively measure the association between the built environment, human emotions, and health. This pilot study proposes a new approach that employs a FrontRow wearable lifestyle camera, a GPS tracker, and an Empatica 4 wristband as a sensor package to track individuals during their everyday activities. Machine-learning methods are adopted to extract urban features. For this study, volunteers were asked to conduct a self-led city tour in Roskilde, Denmark, while using the wearable sensors. Study results demonstrate the feasibility of the proposed approach and the potential for using integrated, multi-sourced data in the study of urban health.

Date: 2022
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