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Authors: Jakub Wagner and Paweł Mazurek

Affiliation: Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Warsaw, Poland

Keyword(s): Healthcare, Monitoring, Data Fusion, Numerical Differentiation, Regularisation, Total Variation.

Abstract: The research reported in this paper is related to the differentiation and fusion of measurement data in systems for healthcare-oriented unobtrusive monitoring of elderly persons. Two methods for regularised numerical differentiation – suitable for different shapes of trajectories of the monitored person’s movement – are considered. A technique for the fusion of data from sensors of different types – which involves weighting those data according to the available a priori information about the variances of errors corrupting those data – is presented. Guidelines on the usage and optimisation of that technique are provided according to the results of numerical experimentation based on synthetic data.

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Paper citation in several formats:
Wagner, J. and Mazurek, P. (2021). Estimation of Movement Speed in Monitoring Systems based on Sensors of Multiple Types. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - BIOSIGNALS; ISBN 978-989-758-490-9; ISSN 2184-4305, SciTePress, pages 69-79. DOI: 10.5220/0010249300002865

@conference{biosignals21,
author={Jakub Wagner. and Paweł Mazurek.},
title={Estimation of Movement Speed in Monitoring Systems based on Sensors of Multiple Types},
booktitle={Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - BIOSIGNALS},
year={2021},
pages={69-79},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010249300002865},
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) - BIOSIGNALS
TI - Estimation of Movement Speed in Monitoring Systems based on Sensors of Multiple Types
SN - 978-989-758-490-9
IS - 2184-4305
AU - Wagner, J.
AU - Mazurek, P.
PY - 2021
SP - 69
EP - 79
DO - 10.5220/0010249300002865
PB - SciTePress