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Authors: Rafael F. C. Oliveira ; Fabio Barreto and Raphael Abreu

Affiliation: Centro Universitário Unilasalle do Rio de Janeiro, Niterói, Brazil

Keyword(s): Machine Learning, Data Generation, Wandering, Alzheimer, Internet of Things.

Abstract: This work proposes a way to detect wandering activity of Alzheimer’s patients from path data collected from non-intrusive indoor sensors around the house. Due to the lack of adequate data, we’ve manually generated a dataset of 220 paths using our own developed application. Wandering patterns in the literature are normally identified by visual features (such as loops or random movement), thus our dataset was transformed into images and augmented. Convolutional layers were used on the neural network model since they tend to have good results finding patterns specially on images. The Convolutional Neural Network model was trained with the generated data and achieved an f1 score (relation between precision and recall) of 75%, recall of 60%, and precision of 100% on our 10 sample validation slice.

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Paper citation in several formats:
Oliveira, R.; Barreto, F. and Abreu, R. (2021). Convolutional Neural Network for Elderly Wandering Prediction in Indoor Scenarios. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - HEALTHINF; ISBN 978-989-758-490-9; ISSN 2184-4305, SciTePress, pages 253-260. DOI: 10.5220/0010379902530260

@conference{healthinf21,
author={Rafael F. C. Oliveira. and Fabio Barreto. and Raphael Abreu.},
title={Convolutional Neural Network for Elderly Wandering Prediction in Indoor Scenarios},
booktitle={Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - HEALTHINF},
year={2021},
pages={253-260},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010379902530260},
isbn={978-989-758-490-9},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - HEALTHINF
TI - Convolutional Neural Network for Elderly Wandering Prediction in Indoor Scenarios
SN - 978-989-758-490-9
IS - 2184-4305
AU - Oliveira, R.
AU - Barreto, F.
AU - Abreu, R.
PY - 2021
SP - 253
EP - 260
DO - 10.5220/0010379902530260
PB - SciTePress

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