Kyle Dorman, Marjan Yahyanejad, Ani Nahapetian, Myung-kyung Suh, Majid

Sarrafzadeh, William McCarthy, William KaiserUniversity of California, Los Angeles

(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)

No Data <10% 10%–14%

(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)

No Data <10% 10%–14% 15%–19% 20%–24% 25%–29% ≥30%

Obesity Problems 30% of U.S. adults (20 years or older) are obese

◦ 60 million people

65% of U.S. adults are considered overweight

16% of children/teens (ages 6 – 19) are overweight◦ 9 million people

Estimated annual cost of obesity in the USA in 1998 was $78.5 billion, 2000 was $117 billion

According to the CDC, the main cause is poor eating and exercise habits

• UC San Diego 2006-07• Wireless food intake systems

• Mobile phone application that allows users to monitor their caloric balance• Monitors

• The number of kilocalories eaten and burned during the course of a day

• Limitation• The selection of foods is manual • Not all food items are listed The user should estimate number of kilocalories ( Loss of accuracy)

Example

Monitors caloric balance in real time◦ User input : i) Barcode Scan

ii) Manual Keyboard Entry◦ Connects with various DBs ◦ Provide ingredient lists and nutritional

information◦ If food choices are inconsistent with the

Dietary Guidelines for Americans, Give reminders

Ex) you are 50% over your daily energy density intake goal

Nutrition Monitor Project

Barcode(UPC) Scan

Manual Keyboard Entry

Data Base

Data Procssing

User

Three different versions of this application◦ Nokia N95

Symbian OS◦ HP iPAQ hw6945

Windows Mobile◦ Google G1 Phone

Android

Nutrition Monitor Project

Register an account on the website Choose from a list of predefined diets or customize

your own

12

www.scan-away.com

Differences from Symbian OS version’◦ Items are not separated into meals◦ An allergy feature was added

The nutritional information includes a warning messages Ex) If a user has a nut allergy, it provides immediate way to

see whether a product would set of any allergic responses

Google Android OS Increase to three modes

◦ Eating Mode◦ Shopping Mode◦ Report Mode

Google Android OS Eating Mode

◦ Product Scan Scan the UPC barcode

Add an item to user’s list

◦ The common list of food A list of items that the user consumes frequently The system asks to select items from the common

list It help the management of a daily food list even

easier

Shopping Mode◦ Provide same options as the previous mode◦ After pushing “ADD” button

A view shows the sum of the nutrition facts of the shopping basket

Outputs warnings on the high-level amounts of some of the factors (Ex. Calories and Fat)

Google Android OS

Report Mode◦ Record the daily food intake or the shopping

basket◦ Provide a comprehensive report about the food

consumption

Google Android OS

Conclusion We propose

◦ A handheld system that is constantly with the user

◦ A (mostly) automatic and accurate way to enter names of foods

◦ A method to track user consumption and trends over time

◦ A system that can be programmed to warn the user against unhealthy food choices

Future Work Support non-UPC food

◦ Ex) processed fruits and vegetable

Able to enter any dietary restrictions◦ More than nuts

Questions