Unobtrusive Human Fall Detection System Using mmWave Radar and Data Driven Methods-Reference-Cited by-同舟云学术

Unobtrusive Human Fall Detection System Using mmWave Radar and Data Driven Methods

Published:2023-04-01 Issue:7 Volume:23 Page:7968-7976
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Rezaei Ariyamehr¹^ORCID,Mascheroni Alessandro²^ORCID,Stevens Michael C.¹^ORCID,Argha Reza¹^ORCID,Papandrea Michela²^ORCID,Puiatti Alessandro²^ORCID,Lovell Nigel H.¹^ORCID

Affiliation:

1. Graduate School of Biomedical Engineering and the Tyree Institute of Health Engineering, University of New South Wales (UNSW), Sydney, NSW, Australia

2. Department of Innovative Technologies (DTI), University of Applied Sciences and Arts of Southern Switzerland (SUPSI), Viganello, Switzerland

Funder

New South Wales Government Tech Voucher with the contribution of Vitalcare

Australian Department of Education, Skills, and Employment through an Australian Government Research Training Program Scholarship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10089784/10048775.pdf?arnumber=10048775

Reference30 articles.

1. Placement selection of millimeter wave FMCW radar for indoor fall detection