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
|Author:||Mercuri, Marco1; Soh, Ping Jack2; Mehrjouseresht, Pouya3;|
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
|Online Access:||PDF Full Text (PDF, 3.9 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2023053049505
Institute of Electrical and Electronics Engineers,
|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.
IEEE journal of electromagnetics, RF and microwaves in medicine and biology
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work was supported by FWO-Flanders and by European ECSEL project NextPerception.
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