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Wearable Cameras: Identifying Healthy Transportation Choices

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3 Author(s)
Doherty, A. ; Centre for Sensor Web Technol., Dublin City Univ., Dublin, Ireland ; Kelly, P. ; Foster, C.

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.

Published in:

Pervasive Computing, IEEE  (Volume:12 ,  Issue: 1 )