Personal positioning based on bayesian filters and user activity map
As wearable computers become pervasive, location awareness emerges as an essential substrate for future personalized services where context-sensitive applications can be evoked based on current or projected user locations.
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2014
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Online Access: | http://hdl.handle.net/10356/60546 |
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sg-ntu-dr.10356-605462020-11-01T11:33:26Z Personal positioning based on bayesian filters and user activity map Hui, Fang Hsu Wen Jing School of Computer Science and Engineering Singapore-MIT Alliance Programme DRNTU::Engineering::Computer science and engineering As wearable computers become pervasive, location awareness emerges as an essential substrate for future personalized services where context-sensitive applications can be evoked based on current or projected user locations. Doctor of Philosophy (SCE) 2014-05-28T04:40:08Z 2014-05-28T04:40:08Z 2009 2009 Thesis http://hdl.handle.net/10356/60546 en 181 p. application/pdf |
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DRNTU::Engineering::Computer science and engineering Hui, Fang Personal positioning based on bayesian filters and user activity map |
description |
As wearable computers become pervasive, location awareness emerges as an essential substrate for future personalized services where context-sensitive applications can be evoked based on current or projected user locations. |
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Hsu Wen Jing |
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Hsu Wen Jing Hui, Fang |
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Theses and Dissertations |
author |
Hui, Fang |
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Hui, Fang |
title |
Personal positioning based on bayesian filters and user activity map |
title_short |
Personal positioning based on bayesian filters and user activity map |
title_full |
Personal positioning based on bayesian filters and user activity map |
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Personal positioning based on bayesian filters and user activity map |
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Personal positioning based on bayesian filters and user activity map |
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personal positioning based on bayesian filters and user activity map |
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2014 |
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http://hdl.handle.net/10356/60546 |
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