Lab Meeting 29 Sep.,2006 (Ashin):Using GPS to learn significant locations and predict movement across multiple users

Authors:Daniel Ashbrook and Thad Starner

From:Personal and Ubiquitous Computing Volume 7, Number 5 / October, 2003

Abstract:
Wearable computers have the potential to act as intelligent agents in everyday life and assist the user in a variety of tasks, using context to determine howto act. Location is the most common form of context used by these agents to determine the user's task.However, another potential use of location context isthe creation of a predictive model of the user's future movements. We present a system that automatically clusters GPS data taken over an extended periodof time into meaningful locations at multiple scales.These locations are then incorporated into a Markovmodel that can be consulted for use with a variety ofapplications in both single user and collaborative scenarios.

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