Amiribesheli, M., Benmansour, A. and Bouchachia, A., 2015. A review of smart homes in healthcare. Journal of Ambient Intelligence and Humanized Computing, 6 (4), 495-517.
Full text available as:
|
PDF
SH_Survey_4_2.pdf - Accepted Version 1MB | |
Copyright to original material in this document is with the original owner(s). Access to this content through BURO is granted on condition that you use it only for research, scholarly or other non-commercial purposes. If you wish to use it for any other purposes, you must contact BU via BURO@bournemouth.ac.uk. Any third party copyright material in this document remains the property of its respective owner(s). BU grants no licence for further use of that third party material. |
DOI: 10.1007/s12652-015-0270-2
Abstract
The technology of Smart Homes (SH), as an instance of ambient assisted living technologies, is designed to assist the homes’ residents accomplishing their daily-living activities and thus having a better quality of life while preserving their privacy. A SH system is usually equipped with a collection of inter-related software and hardware components to monitor the living space by capturing the behaviour of the resident and understanding his activities. By doing so the system can inform about risky situations and take actions on behalf of the resident to his satisfaction. The present survey will address technologies and analysis methods and bring examples of the state of the art research studies in order to provide background for the research community. In particular, the survey will expose infrastructure technologies such as sensors and communication platforms along with artificial intelligence techniques used for modeling and recognizing activities. A brief overview of approaches used to develop Human–Computer interfaces for SH systems is given. The survey also highlights the challenges and research trends in this area.
Item Type: | Article |
---|---|
ISSN: | 1868-5137 |
Group: | Faculty of Science & Technology |
ID Code: | 22743 |
Deposited By: | Symplectic RT2 |
Deposited On: | 21 Oct 2015 13:09 |
Last Modified: | 14 Mar 2022 13:53 |
Downloads
Downloads per month over past year
Repository Staff Only - |