Cross-environment activity recognition using a shared semantic vocabulary

Effectively recognizing activities in smart environments requires either matching sensors to semantic models or labeled training data from the target environment for machine learning. Combining knowledge-driven and data-driven approaches improves activity recognition (AR) by providing the benefits o...

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Bibliographic Details

Published in:	Pervasive and mobile computing Vol. 51; pp. 150 - 159
Main Authors:	Wemlinger, Zachary E., Holder, Lawrence B.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.12.2018
Subjects:	Activity recognition Semantics Smart environments Smart environments Activity recognition Semantics
ISSN:	1574-1192, 1873-1589
Online Access:	Get full text
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