# Detecting Wandering Behavior of People with Dementia

arXiv: https://arxiv.org/abs/2110.13128 · HTML: https://mlsanity.com/paper/2110.13128/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 19 references that are in the map.
- First posted on arXiv 25 Oct 2021.

## Built on by (most cited first, 1 of 1)

- [A Multimodal Dangerous State Recognition and Early Warning System for Elderly with Intermittent Dementia](https://mlsanity.com/paper/2405.20136/) (2024)

## Abstract (arXiv)

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.