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2017 | OriginalPaper | Chapter

Power Consuming Activity Recognition in Home Environment

Authors : Xiaodong Liu, Qi Liu

Published in: Cloud Computing and Security

Publisher: Springer International Publishing

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Abstract

This work proposed an activity recognition model which focus on the power consuming activity in home environment, to help residents modify their behavior. We set the IoT system with lower number of sensors. The key data for identifying activity comes from widely used smart sockets. It first took residents’ acceptability into consideration to set the IoT system, then used a seamless indoor position system to get residents’ position to help recognize the undergoing activities. Based on ontology, it made use of domain knowledge in daily activity and built an activity ontology. The system took real home situation into consideration and make full use of both electric and electronic appliances’ data into the context awareness. The knowledge helps improve the performance of the data-driven method. The experiment shows the system can recognize the common activities with a high accuracy and have a good applicability to real home scenario.

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Metadata
Title
Power Consuming Activity Recognition in Home Environment
Authors
Xiaodong Liu
Qi Liu
Copyright Year
2017
Book
Cloud Computing and Security

Print ISBN: 978-3-319-68504-5

Electronic ISBN: 978-3-319-68505-2

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-68505-2_31

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