2. Daniel Bergeron, Luke Bosse, Jennifer Farrar, Kristi Harrison, Alex Patel, and Brandon Smith http://www.youtube.com/watch?v=lGI7VmsTle4

3.  Objective  Materials  Methods  Data and Results  Calculations  Data Logger Comparison  “Kid-friendly” lesson  Conclusion

4.  Create a punching bag that will measure acceleration using Wiimote accelerometers  Calculate a maximum applied force using acquired data  Compare two different accelerometers

5.  Wiimote  DarwiinRemote software  iPhone DataLogger application  Duffel bag  Scale

6. Figure 1: (left) Punching Bag. (above) Hanging set up

7. Figure 2: Acceleration output in each directional axis

8. Figure 3: Max acceleration in the z-axisFigure 4: Resultant Acceleration Resultant Acceleration

9. Figure 5: Max acceleration in z-axis. (a) a max = -4.9 g (b) a max = -4.22 g

10.  F=ma TrialMass (lbs) Max Acceleration Z axis (g) Force Z axis (lbs) Resultant Force (lbs) Punch 135-4.18146.3187.6 Punch 235-4.90171.5192.3 Kick 135-4.22147.7149.7 Table 1: Values used to calculate max force

11. Figure 6: Comparison of the data collected from the Wiimote and the iPhone during the same trial

12.  What is an accelerometer?  Newton’s Second Law  How can a Wiimote be used to measure acceleration?  How does the iPhone data compare to the Wiimote data?  How do we use the graphs?

13.  We aimed to create a kid-friendly exercise to demonstrate biomechanical principles  Accelerometer data can easily be recorded and analyzed to calculate an applied force

14.  Our project is a very basic model with potential for numerous other applications of more technical design Figure 7: LoadStar Sensors boxing training technology