Authors:
Paweł Mazurek
1
;
Jakub Wagner
1
;
Andrzej Miękina
1
;
Roman Z. Morawski
1
and
Frode Fadnes Jacobsen
2
Affiliations:
1
Faculty of Electronics and Information Technology and Warsaw University of Technology, Poland
;
2
Bergen University College, Norway
Keyword(s):
Healthcare, Impulse-Radar Sensor, Accelerometer, Measurement Data Processing, Uncertainty Estimation.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Development of Assistive Technology
;
Evaluation and Use of Healthcare IT
;
Health Information Systems
;
ICT, Ageing and Disability
;
Practice-based Research Methods for Healthcare IT
Abstract:
This paper is devoted to the healthcare-oriented characterisation of the human movements by means of the
accelerometric and impulse-radar sensors – the sensors that may be employed in care services for
monitoring of elderly and disabled persons. Characterisation of the movements in terms of the so-called
self-selected walking velocity can be used by the medical and healthcare personnel to assess the overall
health status of a monitored person. The quality of the characterisation, based on the measurement data from
accelerometric and impulse-radar sensors, has been assessed in a series of real-world experiments which
involved the estimation of the instantaneous and mean walking velocity of a person moving according to
predefined patterns. Some indicators of uncertainty of the velocity estimation, determined with respect to
assumed predefined velocity values, have been used for comparison of the performance of both types of
sensors. The experiments have shown that impulse-radar sensors
enable one to estimate the mean walking
velocity more accurately than the accelerometric sensors: the estimates obtained on the basis of data from
the latter sensors are affected by larger bias and are more widely spread around their mean values.
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