Personal dietary assessment using mobile devices

Anand Raghu Kumaran Mariappan, Purdue University

Abstract

In this thesis, we investigate image segmentation and classification methods for automatically identifying food items. In this work, color and texture features are used to design the image classification method. The goal is to use these image analysis techniques to create a novel food recording method using a mobile device that will provide an accurate account of daily food and nutrient intake. We also have designed an User-Interface for a Windows Mobile Device which lets the user to "record" foods consumed by capturing the before and after images of the meal. The user-interface also lets the user label the food items.

Degree

M.S.E.C.E.

Advisors

Delp, Purdue University.

Subject Area

Electrical engineering

COinS