@inproceedings{331abb10729f4b958a2c6b00ef7d4a06,
title = "Multiple user activities recognition in smart home",
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.",
keywords = "Artificial neural network, Decision tree, Internet of Things, Multiple user activities, Simple logistic regression, Wearable device",
author = "Lee, {Ya Hua} and Fuchun Lin and Chen, {Wei Han}",
note = "Publisher Copyright: {\textcopyright} ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018.; 3rd International Conference on IoT as a Service, IoTaaS 2017 ; Conference date: 20-09-2017 Through 22-09-2017",
year = "2018",
doi = "10.1007/978-3-030-00410-1_24",
language = "English",
isbn = "9783030004095",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer Verlag",
pages = "202--209",
editor = "Yi-Bing Lin and Ilsun You and Der-Jiunn Deng and Chun-Cheng Lin",
booktitle = "IoT as a Service - Third International Conference, IoTaaS 2017, Proceedings",
address = "德國",
}