Hämäläinen, M.; Mucchi, L.; Caputo, S.; Biotti, L.; Ciani, L.; Marabissi, D.; Patrizi, G. Ultra-Wideband Radar-Based Indoor Activity Monitoring for Elderly Care. Sensors 2021, 21, 3158. https://doi.org/10.3390/s21093158
Ultra wideband radar based indoor activity monitoring for elderly care
|Author:||Hämäläinen, Matti1; Mucchi, Lorenzo2; Caputo, Stefano2;|
1Centre for Wireless Communications, University of Oulu, 90570 Oulu, Finland
2Department of Information Engineering, University of Florence, I-50139 Firenze, Italy
|Online Access:||PDF Full Text (PDF, 1.2 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2021050428652
Multidisciplinary Digital Publishing Institute,
|Publish Date:|| 2021-05-04
In this paper, we propose an unobtrusive method and architecture for monitoring a person’s presence and collecting his/her health-related parameters simultaneously in a home environment. The system is based on using a single ultra-wideband (UWB) impulse-radar as a sensing device. Using UWB radars, we aim to recognize a person and some preselected movements without camera-type monitoring. Via the experimental work, we have also demonstrated that, by using a UWB signal, it is possible to detect small chest movements remotely to recognize coughing, for example. In addition, based on statistical data analysis, a person’s posture in a room can be recognized in a steady situation. In addition, we implemented a machine learning technique (k-nearest neighbour) to automatically classify a static posture using UWB radar data. Skewness, kurtosis and received power are used in posture classification during the postprocessing. The classification accuracy achieved is more than 99%. In this paper, we also present reliability and fault tolerance analyses for three kinds of UWB radar network architectures to point out the weakest item in the installation. This information is highly important in the system’s implementation.
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This research was partially funded by Academy of Finland 6Genesis Flagship (grant No. 318927), by the European Union’s Horizon 2020 programme under grant agreement No. 101017331 and under the Marie Skłodowska-Curie grant agreement No. 872752.
|Academy of Finland Grant Number:||
318927 (Academy of Finland Funding decision)
© 2021 by the authors. Submitted for possible open access publication under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).