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Unifying and Analysing Activities of Daily Living in Extra Care Homes

KONIOS, Alexandros, Jing, Yanguo, Eastwood, Mark and Tan, Bo (2018) Unifying and Analysing Activities of Daily Living in Extra Care Homes. In: IEEE International Symposium on Dependable, Autonomic and Secure Computing (DASC). IEEE, pp. 474-479. ISBN 978-1-5386-7518-2

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Abstract or description

This work presents the unification and formal analysis of occurring Activities of Daily Living (ADLs) identified by an intelligent well-being monitoring system used for elderly residents in extra care homes. The ADLs considered in this paper are: i) personal grooming and toilet, ii) preparation of breakfast, iii) preparation of lunch, iv) preparation of evening meal and v) sleep. These ADLs are examined as they exhibit multiple or similar occurrences during a typical day. The novelty of this work lies in the introduction of a unification approach that could help for the detection of normal and abnormal behaviour based on the execution of the ADLs from elders in extra care homes equipped with different types of sensors. To unify and detect these types of behaviour, temporal aspects of the ADLs' execution like their duration and time of day are scrutinised. Moreover, the formal analysis of the identified ADLs is conducted, using Petri Nets for the modelling of these activities and model checking for their verification. Finally, the verification results are used to indicate whether an abnormal behaviour takes places during an activity, which could be used as a measure for spotting potential health issues regarding the elders that reside in the monitored homes.

Item Type: Book Chapter, Section or Conference Proceeding
Additional Information: “© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”
Faculty: School of Computing and Digital Technologies > Computing
Event Title: 2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech)
Depositing User: Alexandros KONIOS
Date Deposited: 16 Dec 2020 10:45
Last Modified: 16 Dec 2020 10:45
URI: http://eprints.staffs.ac.uk/id/eprint/6672

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