USING GOOGLE’S ANDROID TO CREATE A HEALTH GAME

By: Elie ElChartouni, Diami Goudiaby, Brice Sorrells7/29/2009

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

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An obese child between 10 and 13 has an 80% chance of being an obese adult

Background Info

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Current state of Health games

This represents a first step in developing a health game for DexterNet

DexterNet Wearable body sensor network

Multiple wireless sensor nodes and one wearable base station

Action recognition

Automatic communication with doctors

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G1 Features• Android-based Mobile Phone• Built-in receiver and digital compass• Built-in Accelerometer & GPS• 3.2’’ Touchscreen

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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.

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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)

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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

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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

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Data Collection Two different people jumping:

1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39-505

1015202530

Z AxisY AxisX Axis

1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39-10-505

101520253035

Z AxisY Axis

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Huge variety in how the action looks

Classification Allen's algorithm

1. vector representation of data2. Filtration and compression of vectors 3. sample action is compared to a sets of

training data4. best match is used

KNN algorithm

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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

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Future Development Best classification algorithm

More data for the “Go Crazy” game

Testing on children needed

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Questions?

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