Successfully reported this slideshow.
Your SlideShare is downloading. ×

Sensors and Big Data for Health and Well-being

Ad
Ad
Ad
Ad
Ad
Ad
Ad
Ad
Ad
Ad
Loading in …3
×

Check these out next

1 of 16 Ad
Advertisement

More Related Content

More from Alasdair Gray (20)

Advertisement

Recently uploaded (20)

Sensors and Big Data for Health and Well-being

  1. 1. Sensors and Big Data for Health and Well-being Alasdair J G Gray http://www.alasdairjggray.co.uk @gray_alasdair A.J.G.Gray@hw.ac.uk
  2. 2. Google Flu Predictions 20 June 2014SICSA THAW Workshop 1
  3. 3. Google Flu Predictions 20 June 2014SICSA THAW Workshop 2 http://www.google.org/flutrends/intl/en_us/about/how.html http://www.bbc.co.uk/news/business-27683581 Google Flu Prediction wrong 100 times in a 108 week study!
  4. 4. Big Data 20 June 2014SICSA THAW Workshop 3 http://www.datasciencecentral.com/profiles/blogs/data-veracity
  5. 5. Data Science: Extracting Value 20 June 2014SICSA THAW Workshop 4http://senderocorp.com/images/uploads/bigdata_v9.png Volume Velocity Variety Veracity Value VisualizationAnalytics Big Data Technology
  6. 6. Warning! 20 June 2014SICSA THAW Workshop http://businessoverbroadway.com/wp-content/uploads/2013/05/veracity.png 5
  7. 7. Healthy Living 20 June 2014SICSA THAW Workshop 6 http://weightlosswithexercise.com/images/WeightLoss-45119_11.jpg http://m.cdc.gov/en/HealthSafetyTopics/Healthy Living/HealthyWeight/BalancingCalories
  8. 8. Exercise Tracking 20 June 2014SICSA THAW Workshop 7 http://www.fitbit.com/ http://www.nike.com/gb/en_gb/c/n ikeplus-fuelband
  9. 9. Intelligent Scales 20 June 2014SICSA THAW Workshop 8
  10. 10. Calorie Counting 20 June 2014SICSA THAW Workshop 9
  11. 11. Dashboard Ecosystem 10 20 June 2014SICSA THAW Workshop
  12. 12. Challenges: Variety 11 20 June 2014SICSA THAW Workshop
  13. 13. Challenges: Data Veracity Messy Data Best guess at sleep activity Accuracy of sensors Manual entry Missing Data Forgot to put my fitbit on Didn’t enter my lunch Skipped weighing myself Dead battery 20 June 2014SICSA THAW Workshop 12
  14. 14. Challenges: Privacy 20 June 2014SICSA THAW Workshop 13
  15. 15. Challenges: Privacy 14 20 June 2014SICSA THAW Workshop
  16. 16. Thank you http://www.alasdairjggray.co.uk A.J.G.Gray@hw.ac.uk @gray_alasdair Acknowledgement  David McGookin 20 June 2014SICSA THAW Workshop 15

Editor's Notes

  • Animation of predicted flu occurrences by State
    Predication based on 45 Google search terms
  • Google results published in Nature in 2008

    Study by Northeastern and Havard Universities (published in Science)
    Prediction too high, sometimes double
    Previous week’s occurrences more accurate

    Google tweak their algorithms – increases uncertainty
    Accuracy far greater before autocomplete introduced in 2009
  • Deriving value from the data
  • We are what we eat…and do
    Eating
    Exercise
    Weight
  • What about other exercise?
    Weights, pilates, circuits …
  • Incentive: Gameification/competition
  • All different!
  • Manual entry: Fine for foods

    Provenance of data, what sensor generated the data?
  • Who can see my data?
    How is my data used?
  • As much about educating the public
    Public relations
  • Digital Health in a Connected Hospital
    https://www.innovateuk.org/competition-display-page/-/asset_publisher/RqEt2AKmEBhi/content/digital-health-in-a-connected-hospital?p_p_auth=rNL7u7Xw

×