Detecting Wandering Behavior of People with Dementia

• URL: http://arxiv.org/abs/2110.13128v1
• Date: Mon, 25 Oct 2021 17:47:06 GMT
• Title: Detecting Wandering Behavior of People with Dementia
• Authors: Nicklas Sindlev Andersen and Marco Chiarandini and Stefan J\"anicke and Panagiotis Tampakis and Arthur Zimek
• Abstract summary: 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. 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.
• Score: 2.071516130824992
• License: http://creativecommons.org/licenses/by/4.0/
• 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.

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