iDiary: from GPS signals to a text-searchable diary

iDiary: from GPS signals to a text-searchable diary

This paper describes a system that takes as input GPS data streams generated by users' phones and creates a searchable database of locations and activities. The system is called iDiary and turns large GPS signals collected from smartphones into textual descriptions of the trajectories. The syst...

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Bibliographic Details
Main Authors: Feldman, Dan (Contributor), Sugaya, Andrew (Contributor), Sung, Cynthia Rueyi (Contributor), Rus, Daniela L. (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Association for Computing Machinery (ACM), 2016-01-29T00:58:54Z.
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