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.
@article{arxiv.2110.13128,
title = {Detecting Wandering Behavior of People with Dementia},
author = {Nicklas Sindlev Andersen and Marco Chiarandini and Stefan Jänicke and Panagiotis Tampakis and Arthur Zimek},
journal= {arXiv preprint arXiv:2110.13128},
year = {2021}
}