Analyzing Human Activity Patterns with iBurnCalorie

Alice Turchaninovauniversity of houston-downtown

Prof. Ioannis PavlidisAnalyzing Human Activity Patterns via Mobile App

Introduction2 Overview4 Activity Analysis7 Network analysis14 Goals16 Acknowledgements

iBurnCalorie: health and fitness app released by CPL.Current goal: carry out observational study of users in iBurnCalorie social network.Ultimate goal: offer users optimal pairing with other users to motivate physical activity.Method: analyze human walking and driving patterns and social network behavior with iBurnCalorie.

2Method cont.: Investigate naturally arising pairs of people who work well to motivate each other.2iBurnCalorie2 Overview4 Activity Analysis7 Network analysis14 Goals16 Acknowledgements

Allows users to keep track of their daily walking, biking, and driving activity. Includes a social networking component: users choose buddies to follow and compete against.

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3Persistency categories2 Overview4 Activity Analysis7 Network analysis14 Goals16 Acknowledgements

Users are divided into low, medium, and high persistency categories based on the number of days they have consistently used the application.

Low persistency: 5 or lessMedium persistency: more than 5, less than 10High persistency: 10 or more4

Why do we need three categories? Data can be misleadingLow -