Detecting Wandering Behavior of People with Dementia

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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.
Original languageEnglish
Title of host publicationProceedings - 2021 International Conference on Data Mining Workshops (ICDMW)
EditorsBing Xue, Mykola Pechenizkiy, Yun Sing Koh
Number of pages7
PublisherIEEE
Publication date2021
Pages727-733
ISBN (Print)978-1-6654-2428-8
ISBN (Electronic)978-1-6654-2427-1
DOIs
Publication statusPublished - 2021
Event2021 International Conference on Data Mining Workshops - Auckland, New Zealand
Duration: 7. Dec 202110. Dec 2021

Conference

Conference2021 International Conference on Data Mining Workshops
Country/TerritoryNew Zealand
CityAuckland
Period07/12/202110/12/2021

Keywords

  • Geospatial
  • Data mining
  • Sequence alignment
  • Stream mining
  • Anomaly detection
  • Wandering detection
  • Disorientation detection
  • Dementia
  • GPS data

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