ScheduleNanny: Using GPS to Learn the User's Significant Locations, Travel Times and Schedule
Artificial Intelligence
2007-05-23 v1 Computer Vision and Pattern Recognition
Human-Computer Interaction
Abstract
As computing technology becomes more pervasive, personal devices such as the PDA, cell-phone, and notebook should use context to determine how to act. Location is one form of context that can be used in many ways. We present a multiple-device system that collects and clusters GPS data into significant locations. These locations are then used to determine travel times and a probabilistic model of the user's schedule, which is used to intelligently alert the user. We evaluate our system and suggest how it should be integrated with a variety of applications.
Keywords
Cite
@article{arxiv.cs/0409003,
title = {ScheduleNanny: Using GPS to Learn the User's Significant Locations, Travel Times and Schedule},
author = {Parth Bhawalkar and Victor Bigio and Adam Davis and Karthik Narayanaswami and Femi Olumoko},
journal= {arXiv preprint arXiv:cs/0409003},
year = {2007}
}
Comments
7 pages, 10 figures. Adaptive & Ubiquitous Computing