Discovery of activity patterns using topic models

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Discovery of activity patterns using topic models

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UbiComp; Vol. 344 archive
Proceedings of the 10th international conference on Ubiquitous computing table of contents

Seoul, Korea

SESSION: Activity sensing table of contents

Pages 10-19

Year of Publication: 2008

ISBN:978-1-60558-136-1

Authors

Tâm Huynh	TU Darmstadt, Germany
Mario Fritz	TU Darmstadt, Germany
Bernt Schiele	TU Darmstadt, Germany

Publisher

ACM New York, NY, USA

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ABSTRACT

In this work we propose a novel method to recognize daily routines as a probabilistic combination of activity patterns. The use of topic models enables the automatic discovery of such patterns in a user's daily routine. We report experimental results that show the ability of the approach to model and recognize daily routines without user annotation.

REFERENCES

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