ActiveMe

Optimize your exercise habits

Lois Keller Smith

Weather affects exercise choices and performance

There is a major demand for fitness tracker analytics

Weather Underground

Fitness Tracker Data

Precipitation Avg Temperature Wind

User Calories Burned in Activity/Day

Weather Underground

Fitness Tracker Data

ActiveMe

Precipitation Avg Temperature Wind

User Calories Burned in Activity/Day

Weather Underground

Fitness Tracker Data

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

3 APIs to extract fitness and weather data

Obtain data from User

3 APIs to extract fitness and weather data

Obtain data from User

Store Data

3 APIs to extract fitness and weather data

Predictive Algorithm

Obtain data from User

Store Data

Classify by day of week

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

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

AlgorithmActual - Running

Median

Test Case 1

Test Case 2

123calories

179calories

17calories

138calories

Low=

Good

Actual - ActiveMeAlgorithm

Actual - Running Median

Test Case 1

Test Case 2

123calories

179calories

17calories

138calories

Low=

Good

Much better than current industry standard

Lois Keller Smith