• DocumentCode
    19431
  • Title

    Wearable Cameras: Identifying Healthy Transportation Choices

  • Author

    Doherty, Andrew ; Kelly, Patrick ; Foster, C.

  • Author_Institution
    Centre for Sensor Web Technol., Dublin City Univ., Dublin, Ireland
  • Volume
    12
  • Issue
    1
  • fYear
    2013
  • fDate
    Jan.-Mar. 2013
  • Firstpage
    44
  • Lastpage
    47
  • Abstract
    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.
  • Keywords
    cameras; health care; image segmentation; traffic engineering computing; transportation; driving; first-person point-of-view images; healthy transportation choices; wearable cameras; Behavioral science; Image segmentation; Pervasive computing; Public healthcare; Transportation; Travel services; Wearable computers; SenseCam; transportation; wearable cameras; wearable computing;
  • fLanguage
    English
  • Journal_Title
    Pervasive Computing, IEEE
  • Publisher
    ieee
  • ISSN
    1536-1268
  • Type

    jour

  • DOI
    10.1109/MPRV.2013.21
  • Filename
    6415933