Powered Wearable Technologies for Dementia Care: Evaluating Activity Recognition Models and Dataset Challenges

Mariana Carvalho, Inês Rocha, Marcelo Arantes, Ricardo Linhares, José Soares, António Moreira, António Moreira, João L. Vilaça, João L. Vilaça, Demétrio Matos, Pedro Morais, Pedro Morais, Vítor Carvalho, Vítor Carvalho

2025

Abstract

Dementia is a progressive neurological condition affecting millions worldwide, posing significant challenges for patients and caregivers. Wearable technologies integrated with artificial intelligence (AI) provide promising solutions for continuous activity monitoring, supporting dementia care. This study evaluates the performance of various AI models, including tree-based methods and deep learning approaches, in recognizing activities relevant to dementia care. While the first excelled in handling class imbalances and recognizing common activities, deep learning models demonstrated superior capabilities in capturing complex temporal and spatial patterns. Additionally, a comprehensive analysis of 30 datasets revealed significant gaps, including limited representation of elderly participants, insufficient activity coverage, short recording durations, and a lack of real-world environmental data. To address these gaps, future work should focus on developing datasets tailored to dementia care, incorporating long-duration recordings, diverse activities, and realistic contexts. This study highlights the potential of AI-powered wearable systems to transform dementia management, enabling accurate activity recognition, early anomaly detection, and improved quality of life for patients and caregivers.

Paper Citation

in Harvard Style

Carvalho M., Rocha I., Arantes M., Linhares R., Soares J., Moreira A., Vilaça J., Matos D., Morais P. and Carvalho V. (2025). Powered Wearable Technologies for Dementia Care: Evaluating Activity Recognition Models and Dataset Challenges. In Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: WHC; ISBN 978-989-758-731-3, SciTePress, pages 995-1006. DOI: 10.5220/0013396600003911

in Bibtex Style

@conference{whc25,
author={Mariana Carvalho and Inês Rocha and Marcelo Arantes and Ricardo Linhares and José Soares and António Moreira and João Vilaça and Demétrio Matos and Pedro Morais and Vítor Carvalho},
title={Powered Wearable Technologies for Dementia Care: Evaluating Activity Recognition Models and Dataset Challenges},
booktitle={Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: WHC},
year={2025},
pages={995-1006},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013396600003911},
isbn={978-989-758-731-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: WHC
TI - Powered Wearable Technologies for Dementia Care: Evaluating Activity Recognition Models and Dataset Challenges
SN - 978-989-758-731-3
AU - Carvalho M.
AU - Rocha I.
AU - Arantes M.
AU - Linhares R.
AU - Soares J.
AU - Moreira A.
AU - Vilaça J.
AU - Matos D.
AU - Morais P.
AU - Carvalho V.
PY - 2025
SP - 995
EP - 1006
DO - 10.5220/0013396600003911
PB - SciTePress