University of Oulu

M. Mercuri, P. J. Soh, P. Mehrjouseresht, F. Crupi and D. Schreurs, "Biomedical Radar System for Real-Time Contactless Fall Detection and Indoor Localization," in IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, doi: 10.1109/JERM.2023.3278473.

Biomedical radar system for real-time contactless fall detection and indoor localization

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Author: Mercuri, Marco1; Soh, Ping Jack2; Mehrjouseresht, Pouya3;
Organizations: 1Dipartimento di Informatica, Modellistica, Elettronica e Sistemistica (DIMES), University of Calabria, Arcavacata di Rende (CS), Italy
2Centre for Wireless Communications (CWC), University of Oulu, Oulu, Finland
3Department of Electrical Engineering (ESAT), KU Leuven, Leuven, Belgium
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 3.9 MB)
Persistent link:
Language: English
Published: Institute of Electrical and Electronics Engineers, 2023
Publish Date: 2023-05-30


Fall incidents represent a major public health problem among elderly people. This resulted in a significant increase of the number of investigated systems aiming at detecting falls promptly. In this respect, in this work, a biomedical radar system is proposed for remote real-time fall detection and indoor localization. The system, consisting of a sensor and a base station, combines radar and wireless communication techniques, and uses a data processing technique to distinguish between fall events and normal movements. The classification, based on a Least-Square Support Vector Machine (LS -SVM), combined with the sliding window principle allows to perform fall detection in real-time. Moreover, it is capable to localize the subjects when the fall incident has been detected. The in-vivo validation showed a high success rate in detecting fall events, with a maximum delay of 340 ms. Moreover, a maximum mean absolute errors (MAE) of 3.8 cm and a maximum root-mean-square error (RMSE) of 7.5 cm were reported in measuring the subject’s absolute distance.

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Series: IEEE journal of electromagnetics, RF and microwaves in medicine and biology
ISSN: 2469-7249
ISSN-E: 2469-7257
ISSN-L: 2469-7249
Volume: In press
DOI: 10.1109/jerm.2023.3278473
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work was supported by FWO-Flanders and by European ECSEL project NextPerception.
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