Machine-learning-driven Wearable Healthcare for Dementia: A Review of Emerging Technologies and Challenges

Akio Sashima

2022

Abstract

As personal mobile devices, such as smartphones and smartwatches, are increasingly commoditized, it has become easier to measure individual physiological and physical states and record them continuously. Applying machine learning techniques to the data, we can detect early signs of diseases in older people, such as dementia, and predict probabilities of future disorders. This review paper describes the machine learning technologies in realizing wearable healthcare for older people. First, we survey the literature on machine- learning-driven wearable technologies for the early detection of dementia. Second, we discuss issues of the datasets for constructing ML models. Third, we describe the need for a service framework to collect longitudinal data through continuous monitoring of the user’s health status. Finally, we discuss the socially acceptable implementation of the service framework.

Paper Citation

in Harvard Style

Sashima A. (2022). Machine-learning-driven Wearable Healthcare for Dementia: A Review of Emerging Technologies and Challenges. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: WHC, ISBN 978-989-758-552-4, pages 864-871. DOI: 10.5220/0010973900003123

in Bibtex Style

@conference{whc22,
author={Akio Sashima},
title={Machine-learning-driven Wearable Healthcare for Dementia: A Review of Emerging Technologies and Challenges},
booktitle={Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: WHC,},
year={2022},
pages={864-871},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010973900003123},
isbn={978-989-758-552-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: WHC,
TI - Machine-learning-driven Wearable Healthcare for Dementia: A Review of Emerging Technologies and Challenges
SN - 978-989-758-552-4
AU - Sashima A.
PY - 2022
SP - 864
EP - 871
DO - 10.5220/0010973900003123