A multi-sensory approach for remote health monitoring of older people

Li, H., Shrestha, A., Heidari, H. , Le Kernec, J. and Fioranelli, F. (2018) A multi-sensory approach for remote health monitoring of older people. IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, 2(2), pp. 102-108. (doi:10.1109/JERM.2018.2827099)

[img]
Preview
Text
160572.pdf - Accepted Version

1MB

Abstract

Growing life expectancy and increasing incidence of multiple chronic health conditions are significant societal challenges. Different technologies have been proposed to address these issues, detect critical events, such as stroke or falls, and monitor automatically human activities for health condition inference and anomaly detection. This paper aims to investigate two types of sensing technologies proposed for assisted living: wearable and radar sensors. First, different feature selection methods are validated and compared in terms of accuracy and computational loads. Then, information fusion is applied to enhance activity classification accuracy combining the two sensors. Improvements in classification accuracy of approximately 12% using feature level fusion are achieved with both support vector machine s (SVMs) and k-nearest neighbor (KNN) classifiers. Decision-level fusion schemes are also investigated, yielding classification accuracy in the order of 97%-98%.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Fioranelli, Dr Francesco and Shrestha, Mr Aman and Heidari, Dr Hadi and Le Kernec, Dr Julien
Authors: Li, H., Shrestha, A., Heidari, H., Le Kernec, J., and Fioranelli, F.
College/School:College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology
Publisher:Institute of Electrical and Electronics Engineers
ISSN:2469-7249
ISSN (Online):2469-7257
Published Online:16 April 2018
Copyright Holders:Copyright © 2018 IEEE
First Published:First published in IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology 2(2):102-108
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

University Staff: Request a correction | Enlighten Editors: Update this record