ScheduleNanny: Using GPS to Learn the User's Significant Locations, Travel Times and Schedule

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dc.creatorBhawalkar, Parth
dc.creatorBigio, Victor
dc.creatorDavis, Adam
dc.creatorNarayanaswami, Karthik
dc.creatorOlumoko, Femi
dc.date2004-09-02
dc.date.accessioned2026-07-07T03:21:44Z
dc.date.available2026-07-07T03:21:44Z
dc.descriptionAs 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.
dc.description7 pages, 10 figures. Adaptive & Ubiquitous Computing
dc.identifierhttps://arxiv.org/abs/cs/0409003
dc.identifierhttp://arxiv.org/abs/cs/0409003
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/32319
dc.subjectArtificial Intelligence
dc.subjectComputer Vision and Pattern Recognition
dc.subjectHuman-Computer Interaction
dc.subjectF.2.2; I.5.3; H.5.3; H.5.m
dc.titleScheduleNanny: Using GPS to Learn the User's Significant Locations, Travel Times and Schedule
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