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

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, Clive Eric Sabel
Copyright: © 2022 |Volume: 11 |Issue: 1 |Pages: 21
ISSN: 2160-9918|EISSN: 2160-9926|EISBN13: 9781683182610|DOI: 10.4018/IJEPR.313181
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MLA

Zhang, Zhaoxi, et al. "The Feasibility of Integrating Wearable Cameras and Health Trackers for Measuring Personal Exposure to Urban Features: A Pilot Study in Roskilde, Denmark." IJEPR vol.11, no.1 2022: pp.1-21. http://doi.org/10.4018/IJEPR.313181

APA

Zhang, Z., Amegbor, P. M., & Sabel, C. E. (2022). The Feasibility of Integrating Wearable Cameras and Health Trackers for Measuring Personal Exposure to Urban Features: A Pilot Study in Roskilde, Denmark. International Journal of E-Planning Research (IJEPR), 11(1), 1-21. http://doi.org/10.4018/IJEPR.313181

Chicago

Zhang, Zhaoxi, Prince Michael Amegbor, and Clive Eric Sabel. "The Feasibility of Integrating Wearable Cameras and Health Trackers for Measuring Personal Exposure to Urban Features: A Pilot Study in Roskilde, Denmark," International Journal of E-Planning Research (IJEPR) 11, no.1: 1-21. http://doi.org/10.4018/IJEPR.313181

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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.