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ActiveMe
An App that helps you optimize
your exercise habits
Lois Keller Smith
Insight Fellow
Insight Data Science Final Presentation for Active Me - Lois Smith
Insight Data Science Final Presentation for Active Me - Lois Smith
Insight Data Science Final Presentation for Active Me - Lois Smith
Insight Data Science Final Presentation for Active Me - Lois Smith
Insight Data Science Final Presentation for Active Me - Lois Smith
Weather affects exercise
choices and performance
There is a major demand for
fitness tracker analytics
ActiveMe
Precipitation,
Average
Temperature,
and Wind
User Calories
Burned in
Activity/Day
Weather
Underground
Polar Loop Jawbone Endomondo
Calorie prediction
based on Weather
Sets goals for users
based on predictions
4 APIs to extract
fitness and weather
data
Obtain data from User
4 APIs to extract
fitness and weather
data
Obtain data from User
Store
Data
4 APIs to extract
fitness and weather
data
Predictive
Algorithm
Obtain data from User
Store
Data
Classify by day of
week
4 APIs to extract
fitness and weather
data
Predictive
Algorithm
Obtain data from User
Store
Data
Classify by day of
week
Use k-nearest
neighbor regression
for calorie
prediction
4 APIs to extract
fitness and weather
data
Predictive
Algorithm
Obtain data from User
Store
Data
Classify by day of
week
Use k-nearest
neighbor regression
for calorie
prediction
k nearest neighbor
calorie predictions for:
• Precipitation
• Wind
• Average Temperature
4 APIs to extract
fitness and weather
data
Predictive
Algorithm
Obtain data from User
Store
Data
Classify by day of
week
Use k-nearest
neighbor regression
for calorie
prediction
Weight each calorie
prediction by
correlation coefficient
k nearest neighbor
calorie predictions for:
• Precipitation
• Wind
• Average Temperature
4 APIs to extract
fitness and weather
data
Predictive
Algorithm
Obtain data from User
Store
Data
Classify by day of
week
Use k-nearest
neighbor regression
for calorie
prediction
Weight each calorie
prediction by
correlation coefficient
Provide users with
an activity
prediction, an
activity goal, and
sensitivity to
parameters
Return to User
k nearest neighbor
calorie predictions for:
• Precipitation
• Wind
• Average Temperature
Does it work? YES!
Actual - ActiveMe
Algorithm
Actual - Running
Median
Polar Loop
User
Endomondo
User
123
calories
179
calories
17
calories
138
calories
Low
=
Good
Lois Keller Smith

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Insight Data Science Final Presentation for Active Me - Lois Smith

  • 1. ActiveMe An App that helps you optimize your exercise habits Lois Keller Smith Insight Fellow
  • 8. There is a major demand for fitness tracker analytics
  • 9. ActiveMe Precipitation, Average Temperature, and Wind User Calories Burned in Activity/Day Weather Underground Polar Loop Jawbone Endomondo Calorie prediction based on Weather Sets goals for users based on predictions
  • 10. 4 APIs to extract fitness and weather data Obtain data from User
  • 11. 4 APIs to extract fitness and weather data Obtain data from User Store Data
  • 12. 4 APIs to extract fitness and weather data Predictive Algorithm Obtain data from User Store Data Classify by day of week
  • 13. 4 APIs to extract fitness and weather data Predictive Algorithm Obtain data from User Store Data Classify by day of week Use k-nearest neighbor regression for calorie prediction
  • 14. 4 APIs to extract fitness and weather data Predictive Algorithm Obtain data from User Store Data Classify by day of week Use k-nearest neighbor regression for calorie prediction k nearest neighbor calorie predictions for: • Precipitation • Wind • Average Temperature
  • 15. 4 APIs to extract fitness and weather data Predictive Algorithm Obtain data from User Store Data Classify by day of week Use k-nearest neighbor regression for calorie prediction Weight each calorie prediction by correlation coefficient k nearest neighbor calorie predictions for: • Precipitation • Wind • Average Temperature
  • 16. 4 APIs to extract fitness and weather data Predictive Algorithm Obtain data from User Store Data Classify by day of week Use k-nearest neighbor regression for calorie prediction Weight each calorie prediction by correlation coefficient Provide users with an activity prediction, an activity goal, and sensitivity to parameters Return to User k nearest neighbor calorie predictions for: • Precipitation • Wind • Average Temperature
  • 17. Does it work? YES! Actual - ActiveMe Algorithm Actual - Running Median Polar Loop User Endomondo User 123 calories 179 calories 17 calories 138 calories Low = Good

Editor's Notes

  • #8: People are affected by weather – up to 10% of the population in Northeast US are affected by Seasonal Affective Disorder and sometimes we choose not to do things like bicycle or run when it’s too cold.
  • #11: Animate
  • #12: Animate
  • #13: Animate
  • #14: Animate
  • #15: Animate
  • #16: Animate
  • #17: Animate
  • #18: Smaller is good!!!!