DocumentCode
2273580
Title
Food density estimation using fuzzy logic inference
Author
Li, Chengliu ; Fernstrom, John D. ; Sclabassi, Robert J. ; Fernstrom, Madelyn H. ; Jia, Wenyan ; Sun, Mingui
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Pittsburgh, Pittsburgh, PA, USA
fYear
2010
fDate
26-28 March 2010
Firstpage
1
Lastpage
2
Abstract
This paper presents a novel application of fuzzy logic inference to food density estimation to support research in nutrition science. French fries are taken as an example of this new application. A fuzzy Inference System (FIS) is constructed to estimate the bulk density of French fries under different cooking conditions. Our experimental results show that our density estimation method is accurate with a mean error of 2.2%.
Keywords
biomedical measurement; food products; fuzzy logic; medical computing; cooking conditions; density estimation method; food density estimation; french fries bulk density; fuzzy logic inference; nutrition science; Application software; Cellular phones; Databases; Digital cameras; Fuzzy logic; Fuzzy sets; Fuzzy systems; Genetic algorithms; Temperature; Volume measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioengineering Conference, Proceedings of the 2010 IEEE 36th Annual Northeast
Conference_Location
New York, NY
Print_ISBN
978-1-4244-6879-9
Type
conf
DOI
10.1109/NEBC.2010.5458195
Filename
5458195
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