Food Intake Estimation

Food In-Take Estimation for Obesity Management

Obesity

Obesity, which can be defined in adults by a Body Mass Index (BMI) of higher than 30 kg/m2, can lead to problems including increased risk of cardiovascular disease, type 2 diabetes, and insulin resistance. In addition, it leads to psychosocial problems, functional limitations, and disabilities which adversely affect the social and physical abilities of the obese person in daily affairs. Unfortunately, obesity is on the rise and among the top health risk factors in North America, affecting children of all ages, men, women, and ethnic groups.  Today, the primary method for obesity treatment combines dieting and physical activity. In resistant cases, anti-obesity drugs are used to reduce appetite or decrease fat absorption. In extreme cases, surgery is necessary to remove body fat and reduce stomach volume. While these methods have had limited success on weight loss and management, they are clearly not enough since obesity is still rising. Research is therefore needed to develop more persistent intervention techniques for the continuous prevention and treatment of obesity.

This Project:

In this research, our long term goal is to augment current obesity treatment methods and empower therapists and patients with a novel pervasive mobile system for food in-take estimation.

People involved: Hamid R. Rabiee, Ali Soltani Farani

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