Publication: A Windowing Approach for Activity Recog...
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Title: | A Windowing Approach for Activity Recognition in Sensor Data Streams |
Subtitle: | |
Abstract: | Determining the appropriate data window size for online sensor data streams to recognize a specific activity is still a challenging task. In particular, when new sensor events are recorded. This paper proposes a windowing algorithm which presents promising results to recognize complex activities, e.g., in a smart home environment. The underlying basic idea is to analyze the sensor data in order to identify the set of “best fitting sensors”: it contains those sensors that most contribute to the recognition task, and therefore should be considered in a window. To validate our approach, we applied it on the CASAS data set which is an international data set for activity recognition. |
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Publication type: | Article in compilation (Authorship) |
Publication date: | 01.09.2016 (Print) |
Published by: |
Proc. 8th IEEE International Conference on Ubiquitous and Future Networks
Proc. 8th IEEE International Conference on Ubiquitous and Future Networks
(
IEEE;
I. Electrical and Electronics Engineering
)
to publication |
Title of the series: | 8th International Conference on Ubiquitous and Future networks |
Volume number: | - |
First publication: | Yes |
Page: | pp. 951 - 953 |
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Publication date: | 01.09.2016 |
ISBN: |
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ISSN: | - |
Homepage: | - |
Assignment
Organisation | Address | ||||
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Fakultät für Technische Wissenschaften
Institut für Artificial Intelligence und Cybersecurity
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AT - A-9020 Klagenfurt |
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Fakultät für Technische Wissenschaften
Institut für Intelligente Systemtechnologien
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AT - 9020 Klagenfurt am Wörthersee |
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