Learning from Personal Data Collected on Mobile Devices

Abstract

The modern smart phone is the first device in widespread use that seldom loses sight of its owner. Smart phones collect process and store a considerable amount of information about their owners, such as calendar events, the precise locations visited, the routes taken, the walking and driving speeds, the financial transactions, the images captured with the phone’s camera, the phone call logs or the communications via text messages, instant messages or email. The goal of this project is to explore the feasibility of a mobile application, for iOS or Android devices that mines and correlates all these data sources to provide additional insights and assistance to the user. For example, the application could guess the next action that the user is about to perform and assist the user as much as possible with this task. The expected benefits of the proposed application are: