1. USING GOOGLE’S ANDROID TO CREATE A HEALTH GAME By: Elie ElChartouni, Diami Goudiaby, Brice Sorrells 7/29/2009

2. Motivation  Childhood Obesity  According to the American Academy of Child & Adolescent Psychiatry:  Between 16 and 33 percent of children and adolescents are obese  Annual cost to society for obesity is nearly $100 billion 7/29/2009  An obese child between 10 and 13 has an 80% chance of being an obese adult

3. Background Info 7/29/2009 Current state of Health games This represents a first step in developing a health game for DexterNet

4. DexterNet  Wearable body sensor network  Multiple wireless sensor nodes and one wearable base station  Action recognition  Automatic communication with doctors 7/29/2009

5. G1 Features Android-based Mobile Phone Built-in receiver and digital compass Built-in Accelerometer & GPS 3.2’’ Touchscreen 7/29/2009

6. What is ANDROID? A complete set of software for mobile devices(an operating system, middleware and key mobile application). Is the first free, open source, and fully customizable mobile platform. 7/29/2009

7. Our Game  Multi-purpose:  Played for fun by children on their own  Will be tested at children’s obesity clinics to promote exercise  Uses single accelerometer on G1 Mobile Phone  Targeting children (6 - 10 yrs old) 7/29/2009

8. Original Goal  A “Simon Says” game  Use audio to prompt player to do an action  Requires reorientation of the sensor’s x,y,z-axis  Requires a classification algorithm to determine the actions done 7/29/2009

9. Data Collection  Actions to Recognize:  Jump, Squat, Shake, Slide, Spin left, Spin right..  Collected accelerometer data from 10 different individuals doing each action four times 7/29/2009

10. Data Collection  Two different people jumping: 7/29/2009  Huge variety in how the action looks

11. Classification  Allen's algorithm 1. vector representation of data 2. Filtration and compression of vectors 3. sample action is compared to a sets of training data 4. best match is used  KNN algorithm 7/29/2009

12. New Game “GO CRAZY”  Altered game to measure general activity level  As a fun children’s game:  shake & “go crazy” level of activity  As a medical tool in an obesity clinic:  A way of measuring the level of effort put into doing a specified activity 7/29/2009

13. Future Development  Best classification algorithm  More data for the “Go Crazy” game  Testing on children needed 7/29/2009

14. Questions? 7/29/2009