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ActiveMe Optimize your exercise habits Lois Keller Smith

LKS Final Insight Project Presentation

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Page 1: LKS Final Insight Project Presentation

ActiveMe

Optimize your exercise habits

Lois Keller Smith

Page 2: LKS Final Insight Project Presentation
Page 3: LKS Final Insight Project Presentation
Page 4: LKS Final Insight Project Presentation
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Weather affects exercise choices and performance

Page 8: LKS Final Insight Project Presentation

There is a major demand for fitness tracker analytics

Page 9: LKS Final Insight Project Presentation

Weather Underground

Fitness Tracker Data

Page 10: LKS Final Insight Project Presentation

Precipitation Avg Temperature Wind

User Calories Burned in Activity/Day

Weather Underground

Fitness Tracker Data

Page 11: LKS Final Insight Project Presentation

ActiveMe

Precipitation Avg Temperature Wind

User Calories Burned in Activity/Day

Weather Underground

Fitness Tracker Data

Page 12: LKS Final Insight Project Presentation

ActiveMe

Precipitation Avg Temperature Wind

User Calories Burned in Activity/Day

Weather Underground

Fitness Tracker Data

Weather-based Calorie prediction

Sets goals based on predictions

Page 13: LKS Final Insight Project Presentation

3 APIs to extract fitness and weather data

Obtain data from User

Page 14: LKS Final Insight Project Presentation

3 APIs to extract fitness and weather data

Obtain data from User

Store Data

Page 15: LKS Final Insight Project Presentation

3 APIs to extract fitness and weather data

Predictive Algorithm

Obtain data from User

Store Data

Classify by day of week

Page 16: LKS Final Insight Project Presentation

3 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

Page 17: LKS Final Insight Project Presentation

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

Page 18: LKS Final Insight Project Presentation

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

Page 19: LKS Final Insight Project Presentation

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

Page 20: LKS Final Insight Project Presentation

Does it work? YES! Actual - ActiveMe

AlgorithmActual - Running

Median

Test Case 1

Test Case 2

123calories

179calories

17calories

138calories

Low=

Good

Page 21: LKS Final Insight Project Presentation

Actual - ActiveMeAlgorithm

Actual - Running Median

Test Case 1

Test Case 2

123calories

179calories

17calories

138calories

Low=

Good

Much better than current industry standard

Page 22: LKS Final Insight Project Presentation

Lois Keller Smith