Research Article
Multiple User Activities Recognition in Smart Home
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@INPROCEEDINGS{10.1007/978-3-030-00410-1_24, author={YaHua Lee and Fuchun Lin and Wei-Han Chen}, title={Multiple User Activities Recognition in Smart Home}, proceedings={IoT as a Service. Third International Conference, IoTaaS 2017, Taichung, Taiwan, September 20--22, 2017, Proceedings}, proceedings_a={IOTAAS}, year={2018}, month={10}, keywords={Wearable device Internet of Things Multiple user activities Artificial neural network Decision tree Simple logistic regression}, doi={10.1007/978-3-030-00410-1_24} }- YaHua Lee
Fuchun Lin
Wei-Han Chen
Year: 2018
Multiple User Activities Recognition in Smart Home
IOTAAS
Springer
DOI: 10.1007/978-3-030-00410-1_24
Abstract
In this paper, we investigate the problem of recognizing multiuser activities using wearable devices in a home environment. Our research objective is to provide situation awareness so that a smart home can respond to the needs of its residents based on the accurate detection of their activities. In this research, we compare applying artificial neural network, decision tree and simple logistic regression for model construction and activity detection. Moreover, we also evaluate different architectural alternatives of our smart home system in order to discover the best system configuration. Our unique contribution lies on the low cost of the proposed system design.
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