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Pervasive Computing Technologies for Healthcare. 15th EAI International Conference, Pervasive Health 2021, Virtual Event, December 6-8, 2021, Proceedings

Research Article

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

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  • @INPROCEEDINGS{10.1007/978-3-030-99194-4_21,
        author={Naomi Irvine and Catherine Saunders and Matias Garcia-Constantino and Paul Moorhead and David Branagh and Chris Nugent},
        title={Design of a Rule-Based and ADL Analysis System to Support Care of the Elderly},
        proceedings={Pervasive Computing Technologies for Healthcare. 15th EAI International Conference, Pervasive Health 2021, Virtual Event, December 6-8, 2021, Proceedings},
        proceedings_a={PERVASIVEHEALTH},
        year={2022},
        month={3},
        keywords={Activity recognition Activities of Daily Living Sensors},
        doi={10.1007/978-3-030-99194-4_21}
    }
    
  • Naomi Irvine
    Catherine Saunders
    Matias Garcia-Constantino
    Paul Moorhead
    David Branagh
    Chris Nugent
    Year: 2022
    Design of a Rule-Based and ADL Analysis System to Support Care of the Elderly
    PERVASIVEHEALTH
    Springer
    DOI: 10.1007/978-3-030-99194-4_21
Naomi Irvine1,*, Catherine Saunders1, Matias Garcia-Constantino1, Paul Moorhead, David Branagh2, Chris Nugent1
  • 1: School of Computing
  • 2: Connected Health Innovation Centre (CHIC)
*Contact email: n.irvine@ulster.ac.uk

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.

Keywords
Activity recognition Activities of Daily Living Sensors
Published
2022-03-23
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-99194-4_21
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