A review of smart homes in healthcare

Authors: Amiribesheli, M., Benmansour, A. and Bouchachia, A.

Journal: Journal of Ambient Intelligence and Humanized Computing

Volume: 6

Issue: 4

Pages: 495-517

eISSN: 1868-5145

ISSN: 1868-5137

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.

https://eprints.bournemouth.ac.uk/22743/

Source: Scopus

A review of smart homes in healthcare

Authors: Amiribesheli, M., Benmansour, A. and Bouchachia, A.

Journal: JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING

Volume: 6

Issue: 4

Pages: 495-517

eISSN: 1868-5145

ISSN: 1868-5137

DOI: 10.1007/s12652-015-0270-2

https://eprints.bournemouth.ac.uk/22743/

Source: Web of Science (Lite)

A review of smart homes in healthcare

Authors: Amiribesheli, M., Benmansour, A. and Bouchachia, A.

Journal: Journal of Ambient Intelligence and Humanized Computing

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.

https://eprints.bournemouth.ac.uk/22743/

http://link.springer.com/article/10.1007/s12652-015-0270-2

Source: Manual

Preferred by: Mohsen Amiribesheli

A review of smart homes in healthcare

Authors: Amiribesheli, M., Benmansour, A. and Bouchachia, A.

Journal: Journal of Ambient Intelligence and Humanized Computing

Volume: 6

Issue: 4

Pages: 495-517

ISSN: 1868-5137

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.

https://eprints.bournemouth.ac.uk/22743/

Source: BURO EPrints