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Active In-Database Processing to Support Ambient Assisted Living Systems
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Embedded Systems (CERES).ORCID iD: 0000-0001-6708-0816
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0001-8804-5884
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0002-4143-2948
2014 (English)In: Sensors, ISSN 1424-8220, Vol. 14, no 8, 14765-14785 p.Article in journal (Refereed) Published
Abstract [en]

As an alternative to the existing software architectures that underpin the development of smart homes and ambient assisted living (AAL) systems, this work presents a database-centric architecture that takes advantage of active databases and in-database processing. Current platforms supporting AAL systems use database management systems (DBMSs) exclusively for data storage. Active databases employ database triggers to detect and react to events taking place inside or outside of the database. DBMSs can be extended with stored procedures and functions that enable in-database processing. This means that the data processing is integrated and performed within the DBMS. The feasibility and flexibility of the proposed approach were demonstrated with the implementation of three distinct AAL services. The active database was used to detect bed-exits and to discover common room transitions and deviations during the night. In-database machine learning methods were used to model early night behaviors. Consequently, active in-database processing avoids transferring sensitive data outside the database, and this improves performance, security and privacy. Furthermore, centralizing the computation into the DBMS facilitates code reuse, adaptation and maintenance. These are important system properties that take into account the evolving heterogeneity of users, their needs and the devices that are characteristic of smart homes and AAL systems. Therefore, DBMSs can provide capabilities to address requirements for scalability, security, privacy, dependability and personalization in applications of smart environments in healthcare.

Place, publisher, year, edition, pages
Basel: Multidisciplinary Digital Publishing Institute AG , 2014. Vol. 14, no 8, 14765-14785 p.
Keyword [en]
healthcare technology, smart homes, ambient assisted living, database management systems, active databases, in-database processing, data mining
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:hh:diva-26238DOI: 10.3390/s140814765ISI: 000341499900073OAI: diva2:737561

This article belongs to the Special Issue Select Papers from UCAmI & IWAAL 2013 - the 7th International Conference on Ubiquitous Computing and Ambient Intelligence & the 5th International Workshop on Ambient Assisted Living (UCAmI & IWAAL 2013: Pervasive Sensing Solutions

Available from: 2014-08-13 Created: 2014-08-13 Last updated: 2016-03-09Bibliographically approved
In thesis
1. Architecting Smart Home Environments for Healthcare: A Database-Centric Approach
Open this publication in new window or tab >>Architecting Smart Home Environments for Healthcare: A Database-Centric Approach
2015 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The development of system architectures and applications for smart homes and ambient assisted living has been the main activity of a number of academic and industrial research projects around the world. Existing system architectures for smart environments usually employ different architectural styles in a multi-layer logical architecture to support the integration and interoperation of heterogeneous hardware and software technologies, which are subsequently used to provide two major functionalities: monitoring and assistance. It is also usual among existing architectures that the database management system is the most common but the least exploited architectural component, existing in the periphery of the system and devoted exclusively for data storage and retrieval. However, database technology has advanced and matured considerably over the years, and, as a result, current database management systems can be and do more.

This thesis considers the hypothesis of several features of modern database management systems being employed to address functional (e.g. well-being and security monitoring, automated control, data processing) and non-functional (e.g. interoperability, extensibility, data security and privacy) requirements of smart environments, i.e. the database management system serves as a platform for smart environments. The scope of this thesis is therefore to investigate the possibility of using different features supported by database management systems to create a database-centric system architecture for the development of smart home environments and ambient assisted living. The thesis also investigates the development of applications for health monitoring and assistance: 1) a serious game for fall prevention that assists people in practicing Tai Chi at home, and 2) a non-intrusive home-based method for sleep assessment.

These features are explored in this thesis to address general functional aspects of smart environments, such as monitoring, processing, coordination and control of various types of events in a given environment. Extensibility and security features and cross-platform capabilities of database management systems are employed to accommodate non-functional, but still technical, properties of smart environments, including interoperability, extensibility, portability, scalability, security and privacy. Heterogeneous technologies are integrated into the system using programming language and platform independent software resource adapters. Interoperation among integrated technologies is mediated in an active database.

The feasibility of the proposed database-centric system architecture was pragmatically investigated with the development of a "smart bedroom'' demonstrator and with the implementation of a number of short-term and long-term types of services to support active aging, aging in place and ambient assisted living. In the proposed architecture, active in-database processing maintains sensitive data within the database. This increases data security and independence from external software applications for data analysis. Changes in the system are managed during runtime, which improves flexibility and avoids system downtime. The proposed system architecture was evaluated taking into account different application scenarios and heterogeneous computing platforms.

As a conclusion, modern database management systems support features that can be successfully employed in a database-centric system architecture to effectively and efficiently address functional and non-functional requirements of smart environments.

Place, publisher, year, edition, pages
Halmstad: Halmstad University Press, 2015. 50 p.
Halmstad University Dissertations, 15
Smart environments, system architectures, active databases, in-database processing, ambient assisted living
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
urn:nbn:se:hh:diva-29227 (URN)978-91-87045-33-2 (ISBN)978-91-87045-32-5 (ISBN)
Public defence
2015-09-16, Wigforssalen, Visionen, Kristian IV:s väg 3, Halmstad, 13:00 (English)
Knowledge Foundation
Available from: 2015-08-19 Created: 2015-08-18 Last updated: 2016-03-09Bibliographically approved

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