This document discusses normalizing sensor data to allow for comparison of data over time, between circumstances and individuals, and to facilitate automated analysis. Normalizing places sensor data into a standard output format which allows data from different sensors to be combined, sensors to be replaced, and a platform to analyze the standardized data. Examples provided normalize data against time, combine drive event data, and map stress levels to GPS locations.

1. QS #27 – Discussion slides
Normalizing Data /common sensors
Dave Marvit

2. Why normalize?
• Comparison
– Me vs. time
– Me vs. circumstance
– Me vs. others
• Automate analysis
• Combine + replace sensors
Encapsulation
Non-standard output Standard output
Sensor

3. Combining sensors
Non-standard output Standard output
Sensor
New standard
Non-standard output Standard output output
Sensor
Non-standard output Standard output
Sensor

4. Applying a platform

5. Normalization against time
Sensors
Drive events
Copyright 2012 FUJITSU

6. Stress map: Stress vs. GPS location

7. Discussion