Title :
A novel method for measuring nutrition intake based on food image
Author :
Almaghrabi, Rana ; Villalobos, Gregorio ; Pouladzadeh, Parisa ; Shirmohammadi, Shervin
Author_Institution :
Distrib. Collaborative Virtual Environ. Res. Lab., Univ. of Ottawa, Ottawa, ON, Canada
Abstract :
In this paper, a food nutrition and energy intake recognition system for medical purposes is proposed. This system is built based on food image processing and shape recognition in addition to nutritional fact tables. Recently, countless studies suggested that the usage of technology such as smartphones may enhance the treatments for obesity and overweight patients. Via a special technique, the system records a photo of the food before and after eating in order to estimate the consumption calorie of the selected food and its nutrients components. Our system presents a new instrument in food intake measuring systems which can be useful and effective in obesity management.
Keywords :
food technology; image recognition; medical image processing; consumption calorie; energy intake recognition system; food image processing; nutrition intake measuring; obesity; overweight patients; shape recognition; smartphones; Databases; Image recognition; Obesity; Shape; Support vector machines; Thumb; Calories measurement; Image processing; Shape recognition; obesity management;
Conference_Titel :
Instrumentation and Measurement Technology Conference (I2MTC), 2012 IEEE International
Conference_Location :
Graz
Print_ISBN :
978-1-4577-1773-4
DOI :
10.1109/I2MTC.2012.6229581
