Document Detail


Automated camera-phone experience with the frequency of imaging necessary to capture diet.
MedLine Citation:
PMID:  20656101     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Camera-enabled cell phones provide an opportunity to strengthen dietary recall through automated imaging of foods eaten during a specified period. To explore the frequency of imaging needed to capture all foods eaten, we examined the number of images of individual foods consumed in a pilot study of automated imaging using camera phones set to an image-capture frequency of one snapshot every 10 seconds. Food images were tallied from 10 young adult subjects who wore the phone continuously during the work day and consented to share their images. Based on the number of images received for each eating experience, the pilot data suggest that automated capturing of images at a frequency of once every 10 seconds is adequate for recording foods consumed during regular meals, whereas a greater frequency of imaging is necessary to capture snacks and beverages eaten quickly.
Authors:
Lenore Arab; Ashley Winter
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of the American Dietetic Association     Volume:  110     ISSN:  1878-3570     ISO Abbreviation:  J Am Diet Assoc     Publication Date:  2010 Aug 
Date Detail:
Created Date:  2010-07-26     Completed Date:  2010-08-19     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7503061     Medline TA:  J Am Diet Assoc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1238-41     Citation Subset:  AIM; IM    
Copyright Information:
2010 American Dietetic Association. Published by Elsevier Inc. All rights reserved.
Affiliation:
Department of Medicine, David Geffen School of Medicine at UCLA, 12-262 Factor Building, Box 951736, Los Angeles, CA 90095-1736, USA. larab@ucla.edu
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MeSH Terms
Descriptor/Qualifier:
Automatic Data Processing
Cellular Phone
Data Collection / instrumentation*,  methods*
Diet Surveys*
Humans
Photography*
Time Factors

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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