@inproceedings{ca86b313748d4bd9a09bff877d93ec83,
title = "Detecting Wandering Behavior of People with Dementia",
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.",
keywords = "Geospatial, Data mining, Sequence alignment, Stream mining, Anomaly detection, Wandering detection, Disorientation detection, Dementia, GPS data",
author = "Andersen, {Nicklas Sindlev} and Marco Chiarandini and Panagiotis Tampakis and Stefan J{\"a}nicke and Arthur Zimek",
year = "2021",
doi = "10.1109/ICDMW53433.2021.00095",
language = "English",
isbn = "978-1-6654-2428-8",
pages = "727--733",
editor = "Bing Xue and Mykola Pechenizkiy and Koh, {Yun Sing}",
booktitle = "Proceedings - 2021 International Conference on Data Mining Workshops (ICDMW)",
publisher = "IEEE",
address = "United States",
note = "2021 International Conference on Data Mining Workshops, ICDMW ; Conference date: 07-12-2021 Through 10-12-2021",
}