1. Aefa Personal Exercise Assistant

2. Introduction Team members: Justin Bumpus-Barnett Dmitri Musatkin Cilranus Thompson Sean Cline Course Instructor: Dr. Gursel Serpen Faculty Advisor: Dr. Henry Ledgard

3. Presentation Contents Background Discussion Problem Statement Solutions Architecture Design Hardware Motion Analysis Social Networking Database Abstraction Video Demonstration Conclusion Questions

4. Background Project Motivation: Promote healthy lifestyle Simplify exercise tracking Join growing market of exercise software Save users’ money and time

5. Background Importance of Project Promote weight loss Introduce exercise software on PC Provide an inexpensive option for exercise management Relation to Coursework Signal processing & Filtering Hardware Interfacing GUI building Software Development Database Design

6. Discussion

7. Problem Statement & Solution Problem Track user exercise Exercise analysis Motivate user Performance graphing Usable with a variety of sensors Sharing recorded data

8. Problem Statement & Solution Solution Design a Multi-Platform Application o Intuitive User Interface Wii Remote o Accelerometer Motion Detection Algorithms o Peak Counting Storage Of Exercise Data o SQL Database Plugin o Java Simple Plugin Framework Solution Social Networking o Twitter Result & User Feedback o JfreeChart

9. Discussion - Architecture

10. Discussion - Design Plugin Management Event Driven Design Interface-based Design Dependency Injection

11. Discussion - Hardware Wii Remote: ADXL330 accelerometer Broadcom bluetooth device +/- 5g with 10% accuracy Acceleration axes are relative to the device Earth gravity is added to the measurements Motion Plus to improve acceleration reading

12. Discussion - Acceleration Data Acceleration measured in units of g Exercise patterns are preserved in the acceleration data

13. Discussion - Motion analysis Algorithm based on published technical articles Mean filter to smooth out the data Adaptive thresholding Dynamic precision Time framing Calories burned calculation

14. Discussion - Social Networking Share performance with friends Motivate users by showing friends' performance

15. Discussion - DAL Database Abstraction Layer Persistence of data between exercise sessions Implementation independent method to store data Separates code from data Implemented using SQLite database

16. Demonstration - Running

17. Demonstration – Squats

18. Demonstration – Jumping Jacks

19. Conclusion Prospective Users: Home Users Retirement Homes Exercise Gyms Future Possibilities: More plugins Compatibility with more devices Better social networking connectivity o Facebook o Foursquare

20. Q&A You've got questions... We've got blank stares.