Issue No. 01 - Jan.-Mar. (2013 vol. 12)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MPRV.2013.21
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.
transportation, wearable cameras, wearable computing, SenseCam
A. Doherty, P. Kelly and C. Foster, "Wearable Cameras: Identifying Healthy Transportation Choices," in IEEE Pervasive Computing, vol. 12, no. , pp. 44-47, 2013.