| Toward Dietary Assessment via Mobile Phone Video Cameras. | |
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MedLine Citation:
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PMID: 21346950 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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Reliable dietary assessment is a challenging yet essential task for determining general health. Existing efforts are manual, require considerable effort, and are prone to underestimation and misrepresentation of food intake. We propose leveraging mobile phones to make this process faster, easier and automatic. Using mobile phones with built-in video cameras, individuals capture short videos of their meals; our software then automatically analyzes the videos to recognize dishes and estimate calories. Preliminary experiments on 20 typical dishes from a local cafeteria show promising results. Our approach complements existing dietary assessment methods to help individuals better manage their diet to prevent obesity and other diet-related diseases. |
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Authors:
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Nicholas Chen; Yun Young Lee; Maurice Rabb; Bruce Schatz |
Publication Detail:
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Type: Journal Article Date: 2010-11-13 |
Journal Detail:
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Title: AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium Volume: 2010 ISSN: 1942-597X ISO Abbreviation: AMIA Annu Symp Proc Publication Date: 2010 |
Date Detail:
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Created Date: 2011-02-24 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101209213 Medline TA: AMIA Annu Symp Proc Country: United States |
Other Details:
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Languages: eng Pagination: 106-10 Citation Subset: IM |
Affiliation:
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Department of Computer Science, University of Illinois, Urbana, IL 61801 USA; |
Export Citation:
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Descriptor/Qualifier:
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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