1. 2014 Sensors in Motion  Janet.Schneider@Microsoft.com  Software Engineer Lead  October 10, 2014 #GHC1 4 2014

3. MEMS – Micro Electro Mechanical System

4. 2014 You Gotta Get That Data

5. 2014 What Does the Raw Data Look Like?

6. 2014 Dot Product - x1*x2 + y1*y2 + z1*z2

7. 2014 http://stackoverflow.com/questions/3895894/how-do-i-improve-the-accuracy-of-this-pedometer-algorithm “Best Pedometer Algorithm”

8. 2014 Algorithm: 19 steps Actual: 20 steps Algorithm Accuracy

9. 2014 Step State Machine

10. 2014

11. Actual: 100 Tuned thresholds:99 Average high:1.94 Average low:0.65 Average time per step:0.53 Initial thresholds:108 Algorithm Tuning and Accuracy

12. 2014 Sensor Hardware Trends Sensor fusion – algorithms to incorporate gyroscope, magnetometer, barometer, computer vision Refining algorithms and pushing them to the sensor micro- controller. This could be as simple as shake detection or a basic pedometer, or as complex as motion classification. Getting a history of data from the sensor, both raw data and aggregated data.

13. 2014 I cannot live on accelerometer alone

14. 2014

17. http://apps.microsoft.com/windows/en- us/app/sensorinfo/95015d9e-2116-44b8- 9d3c-15c7b8753086http://apps.microsoft.com/windows/en- us/app/sensorinfo/95015d9e-2116-44b8- 9d3c-15c7b8753086 https://itunes.apple.com/us/app/sensor- monitor/id381075251?mt=8https://itunes.apple.com/us/app/sensor- monitor/id381075251?mt=8 http://developer.android.com/guide/topics/ sensors/sensors_overview.htmlhttp://developer.android.com/guide/topics/ sensors/sensors_overview.html http://dev.fitbit.com/ http://iwhphx2014.challengepost.com Janet.Schneider@Microsoft.com

18. 2014 Got Feedback? Rate and Review the session using the GHC Mobile App To download visit www.gracehopper.org