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Wearable Cameras: Identifying Healthy Transportation Choices
Jan.-Mar. 2013 (vol. 12 no. 1)
pp. 44-47
Aiden Doherty, Dublin City University
Paul Kelly, University of Oxford, UK
Charlie Foster, University of Oxford, UK
Traditionally, health researchers have used large-scale travel surveys to measure existing travel behavior and identify the determinants driving it. However, such surveys rely on self-reporting, which can be unreliable. Here, the authors discuss using wearable cameras that capture first-person point-of-view images to help objectively identify the duration, frequency, and mode of journeys and reveal potential errors inherent in self-reporting. Their approach could ultimately lead to a better understanding of the environments offering individuals opportunities to engage in more active forms of transportation. This column is part of a special issue on transit and transport.
Index Terms:
transportation,wearable cameras,wearable computing,SenseCam
Aiden Doherty, Paul Kelly, Charlie Foster, "Wearable Cameras: Identifying Healthy Transportation Choices," IEEE Pervasive Computing, vol. 12, no. 1, pp. 44-47, Jan.-Mar. 2013, doi:10.1109/MPRV.2013.21
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