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Wearable Cameras: Identifying Healthy Transportation Choices

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 u...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/MPRV.2013.21

Authors


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Institution:
University of Oxford
Division:
MSD
Department:
Nuffield Department of Population Health
Research group:
British Heart Foundation Health Promotion
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Nuffield Department of Population Health
Research group:
British Heart Foundation Health Promotion
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Nuffield Department of Population Health
Research group:
British Heart Foundation Health Promotion
Role:
Author
More from this funder
Funding agency for:
Doherty, A
Grant:
MCPD/2010/12
More from this funder
Funding agency for:
Kelly, P
More from this funder
Funding agency for:
Foster, C
Grant:
021/PandC/core/2010/ HPRG
Publisher:
Institute of Electrical and Electronics Engineers Publisher's website
Journal:
IEEE PERVASIVE COMPUTING Journal website
Volume:
12
Issue:
1
Pages:
44-47
Publication date:
2013-01-01
DOI:
ISSN:
1536-1268
Source identifiers:
384464
Language:
English
Keywords:
Subjects:
UUID:
uuid:c491c8fa-5223-4e71-8075-419138033fa7
Local pid:
pubs:384464
Deposit date:
2013-11-16

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