Activity monitoring App

Nathan Melly


Supervised by Alia I Abdelmoty; Moderated by Charith Perera

People willingly give their location tracks, activity records and other health indicators when using smartphones and fitness bracelets. This project will examine the sort of personal information that can be collected with a Fitbit HR tracker and develop an app that stores and anlayses this data for personal use. Data mining of this data to extract a user profile is possible which then allows the application to alert the user if their behaviour deviates from their "normal" profile (for example, their activity level is lower than normal). (Security and forensics specialism can focus on privacy implication of activity monitoring and devlop methods for protecting user's privacy when using these applications)

Initial Plan (04/02/2019) [Zip Archive]

Final Report (10/05/2019) [Zip Archive]

Publication Form