Active In-Database Processing to Support Ambient Assisted Living Systems
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 sy...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2014-08-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/14/8/14765 |
| _version_ | 1828149670959906816 |
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| author | Wagner O. de Morais Jens Lundström Nicholas Wickström |
| author_facet | Wagner O. de Morais Jens Lundström Nicholas Wickström |
| author_sort | Wagner O. de Morais |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T21:33:41Z |
| format | Article |
| id | doaj.art-1dee2ff0c48b46e4821db8db7d33fda5 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T21:33:41Z |
| publishDate | 2014-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-1dee2ff0c48b46e4821db8db7d33fda52022-12-22T04:01:50ZengMDPI AGSensors1424-82202014-08-01148147651478510.3390/s140814765s140814765Active In-Database Processing to Support Ambient Assisted Living SystemsWagner O. de Morais0Jens Lundström1Nicholas Wickström2School of Information Science, Computer and Electrical Engineering, Halmstad University, Box 823, Halmstad 30118, SwedenSchool of Information Science, Computer and Electrical Engineering, Halmstad University, Box 823, Halmstad 30118, SwedenSchool of Information Science, Computer and Electrical Engineering, Halmstad University, Box 823, Halmstad 30118, SwedenAs 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.http://www.mdpi.com/1424-8220/14/8/14765healthcare technologysmart homesambient assisted livingdatabase management systemsactive databasesin-database processingdata mining |
| spellingShingle | Wagner O. de Morais Jens Lundström Nicholas Wickström Active In-Database Processing to Support Ambient Assisted Living Systems Sensors healthcare technology smart homes ambient assisted living database management systems active databases in-database processing data mining |
| title | Active In-Database Processing to Support Ambient Assisted Living Systems |
| title_full | Active In-Database Processing to Support Ambient Assisted Living Systems |
| title_fullStr | Active In-Database Processing to Support Ambient Assisted Living Systems |
| title_full_unstemmed | Active In-Database Processing to Support Ambient Assisted Living Systems |
| title_short | Active In-Database Processing to Support Ambient Assisted Living Systems |
| title_sort | active in database processing to support ambient assisted living systems |
| topic | healthcare technology smart homes ambient assisted living database management systems active databases in-database processing data mining |
| url | http://www.mdpi.com/1424-8220/14/8/14765 |
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