Design of a Rule-Based and ADL Analysis System to Support Care of the Elderly

Naomi Irvine, Catherine Saunders, Matias Garcia-Constantino, Paul Moorhead, David Branagh, CD Nugent

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Abstract

Medical advances have allowed people to live longer and this has presented different challenges to support them to keep living independently at home. The COVID-19 pandemic has affected the situation with less care staff and resources available for the elderly, which have also been spending more time at their homes without external contact. Elderly people are typically looked after by formal (professional carers) and informal (relatives and friends) carers. The work of carers has been increasingly supported using technologies for communication and wellbeing monitoring of Activities of Daily Living (ADLs) that elderly people perform in order to detect abnormal events that could negatively affect their wellbeing. This paper presents the design of a rule-based and ADL analysis system that takes data from different sensors as input and presents a number of visualisations in a dashboard as output. The dashboard is as user friendly as possible for both formal and informal carers of elderly people. It is intended that the proposed system can identify both immediate problems, but also trends and deviations from the individual’s norm, or that of a comparable cohort, which indicate the opportunity for pro-active care. This research has been done in collaboration with the Kraydel company, whose staff supported with ideas and with the commercial needs to be considered in the solution design presented in this paper.
Original languageEnglish
Title of host publicationPervasive Computing Technologies for Healthcare
Subtitle of host publication15th EAI International Conference, Pervasive Health 2021, Virtual Event, December 6-8, 2021, Proceedings
EditorsHadas Lewy, Refael Barkan
PublisherAssociation for Computing Machinery
Pages331-345
Number of pages15
Volume431
ISBN (Electronic)978-3-030-99194-4
ISBN (Print)978-3-030-99193-7
DOIs
Publication statusPublished (in print/issue) - 23 Mar 2022
EventEAI PervasiveHealth 2021 - 15th EAI International Conference on Pervasive Computing Technologies for Healthcare - Online and in person, Tel Aviv, Israel
Duration: 6 Dec 20218 Dec 2021
Conference number: 15
https://pervasivehealth.eai-conferences.org/2021/

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume431 LNICST
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X

Conference

ConferenceEAI PervasiveHealth 2021 - 15th EAI International Conference on Pervasive Computing Technologies for Healthcare
Abbreviated titleEAI PervasiveHealth 2021
Country/TerritoryIsrael
CityTel Aviv
Period6/12/218/12/21
Internet address

Bibliographical note

Funding Information:
Acknowledgements. Invest Northern Ireland is acknowledged for supporting this project under the Competence Centre Programs Grant RD0513853 – Connected Health Innovation Centre.

Publisher Copyright:
© 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

Keywords

  • Activity Recognition
  • Activities of Daily Living
  • Sensors

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