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Visualized Life
Tools and Applications
for Personal Analytics
Gene Leybzon, August 2015
Tools to collect personal-relevant information for
 Self-monitoring
 Self-reflection
to gain knowledge about
 behaviors
 habits
 thoughts
What is
Personal Analytics?
From Data Collection to
Actionable Suggestions
Activity Sensing and
Data Collection
Data Analysis
Visualization &
Interpretation
Support for
decision
making
1. Activity Sensing and
Data Collection
 Physical Activity
 Sleep
 Mood
 Food and drink
 Social media participation
 Productivity
Sensing and Measuring
 Cameras
 Motion sensors
 IoT devices (locks, lights, etc)
 GPS
 Wrist bands and other wearable devices
 Smart fabric
 Psychometric assessments
Instruments for measurement
Ambient Sensors
Wearable sensors
Non-wearable devices
Data input devices
2. Data Analysis
Sleep Example
Sleep Data Analysis
Raw Data
Sleep Data Analysis
Find Averages
Sleep Data Analysis
Find Sleep stages by Day of Week
Sleep Data Analysis
Sleep Duration
Sleep Quality over time
Sleep Duration correlation
with Sleep Quality
Sleep Duration correlation
with Sleep Quality
Caffeine intake correlation
with Sleep Duration
Need to know about
other sleep affecting factors
Environment Light Temperature
Humidity Food Exercise
3. Approaches to
Analytics Data
Visualization
1. Just showing “row” data
2. Compare your data to others
2a. Compare your data to famous
3. Be inventive in the way data is
shown
4. Dump a lot of data on users and let
them make connections
5. Show numbers instead of graphs
6. Focus on data correlations
7. Data collected over long period of
time
8. Data with automatic interpretation
4. Support for
decision making
Personalized Visualizations
Presenting data in a way it can lead
to conclusions and behavior changes
Predictive Personal Analytics
(we are not there yet)
Visualized life tools and applications for personal analytics

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Visualized life tools and applications for personal analytics

Editor's Notes

  1. Living by numbers Self-tracking Personal informatics Quantified self
  2. What can me measured?
  3. How it can be measured?
  4. Methods of data collection
  5. Credit: http://www.quantifiedbob.com/
  6. Credit: http://www.quantifiedbob.com/
  7. Credit: http://www.quantifiedbob.com/
  8. https://ryancquan.com/blog/2015/01/28/sleep-cycle-analysis/
  9. https://ryancquan.com/blog/2015/01/28/sleep-cycle-analysis/ LOESS Curve
  10. https://ryancquan.com/blog/2015/01/28/sleep-cycle-analysis/ LOESS Curve
  11. https://ryancquan.com/blog/2015/01/28/sleep-cycle-analysis/
  12. https://ryancquan.com/blog/2015/01/28/sleep-cycle-analysis/
  13. FitBit
  14. FitBit
  15. FitBit
  16. http://dataphys.org/list/sleep-patterns/
  17. https://www.pinterest.com/pin/549509592009196570/
  18. https://play.google.com/store/apps/details?id=com.szyk.myheart
  19. https://play.google.com/store/apps/details?id=com.szyk.myheart
  20. https://play.google.com/store/apps/details?id=com.szyk.myheart