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Predictive Behavioural Monitoring and Deviation Detection in Activities of Daily Living of Older Adults

Topics: Digital Health at home - successfully putting individualized ambient assisted living solutions to use; Home monitoring systems, including those to detect activities of daily living and falls; Sensor networks – IoT, AI and machine learning application to home monitoring systems

Authors: Jiawei Zheng and Petros Papapanagiotou

Affiliation: School of Informatics, University of Edinburgh, 10 Crichton Street, Edinburgh, EH8 9AB, U.K.

Keyword(s): Activities of Daily Living, Behaviour Monitoring, Deviation Detection, Predictive Modelling, Sensor Data.

Abstract: Predictive behaviour monitoring of Activities of Daily Living (ADLs) can provide unique, personalised insights about an older person’s physical and cognitive health and lead to unique opportunities to support self- management, proactive intervention and promote independent living. In this paper, we analyse ADL data from ambient sensors to model behaviour markers on a daily basis. Using a number of machine learning and statistical methods we model a predicted daily routine for each marker, detect deviations based on a set of relative thresholds and calculate long-term drifts. We further analyse the causal factors of deviations by investigating relationships between different activities. We demonstrate our results using data from a sample of 11 participants from the CASAS dataset. Finally, we develop a dashboard to visualize our computed daily routines and quantified deviations in an attempt to offer useful feedback to the monitored person and their caregivers.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Zheng, J. and Papapanagiotou, P. (2022). Predictive Behavioural Monitoring and Deviation Detection in Activities of Daily Living of Older Adults. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Smart CommuniCare, ISBN 978-989-758-552-4; ISSN 2184-4305, pages 899-910. DOI: 10.5220/0010974500003123

@conference{smart communicare22,
author={Jiawei Zheng. and Petros Papapanagiotou.},
title={Predictive Behavioural Monitoring and Deviation Detection in Activities of Daily Living of Older Adults},
booktitle={Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Smart CommuniCare,},
year={2022},
pages={899-910},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010974500003123},
isbn={978-989-758-552-4},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Smart CommuniCare,
TI - Predictive Behavioural Monitoring and Deviation Detection in Activities of Daily Living of Older Adults
SN - 978-989-758-552-4
IS - 2184-4305
AU - Zheng, J.
AU - Papapanagiotou, P.
PY - 2022
SP - 899
EP - 910
DO - 10.5220/0010974500003123