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
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;
Conference_Titel :
Bioengineering Conference, Proceedings of the 2010 IEEE 36th Annual Northeast
Conference_Location :
New York, NY
Print_ISBN :
978-1-4244-6879-9
DOI :
10.1109/NEBC.2010.5458195
