Detecting Wandering Behavior of People with Dementia

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Abstract

Wandering is a problematic behavior in people with dementia that can lead to dangerous situations. To alleviate this problem we design an approach for the real-time automatic detection of wandering leading to getting lost. The approach relies on GPS data to determine frequent locations between which movement occurs and a step that transforms GPS data into geohash sequences. Those can be used to find frequent and normal movement patterns in historical data to then be able to determine whether a new on-going sequence is anomalous. We conduct experiments on synthetic data to test the ability of the approach to find frequent locations and to compare it against an alternative, state-of-the-art approach. Our approach is able to identify frequent locations and to obtain good performance (up to AUC = 0.99 for certain parameter settings) outperforming the state-of-the-art approach.
OriginalsprogEngelsk
TitelProceedings - 2021 International Conference on Data Mining Workshops (ICDMW)
RedaktørerBing Xue, Mykola Pechenizkiy, Yun Sing Koh
Antal sider7
ForlagIEEE
Publikationsdato2021
Sider727-733
ISBN (Trykt)978-1-6654-2428-8
ISBN (Elektronisk)978-1-6654-2427-1
DOI
StatusUdgivet - 2021
Begivenhed2021 International Conference on Data Mining Workshops - Auckland, New Zealand
Varighed: 7. dec. 202110. dec. 2021

Konference

Konference2021 International Conference on Data Mining Workshops
Land/OmrådeNew Zealand
ByAuckland
Periode07/12/202110/12/2021

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