Radar-Based Fall Detection: A Survey [Survey]-Reference-Cited by-同舟云学术

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Radar-Based Fall Detection: A Survey [Survey]

Published:2024-09 Issue:3 Volume:31 Page:170-185
ISSN:1070-9932
Container-title:IEEE Robotics & Automation Magazine
language:
Short-container-title:IEEE Robot. Automat. Mag.

Author:

Hu Shuting¹^ORCID,Cao Siyang¹^ORCID,Toosizadeh Nima²,Barton Jennifer³^ORCID,Hector Melvin G.⁴,Fain Mindy J.⁴

Affiliation:

1. Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USA

2. Department of Rehabilitation and Movement Sciences Rutgers School of Health, Rutgers University, New Brunswick, NJ, USA

3. Department of Biomedical Engineering, University of Arizona, Tucson, AZ, USA

4. Department of Medicine, University of Arizona, Tucson, AZ, USA

Funder

National Institutes of Health

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/100/10673735/10420485.pdf?arnumber=10420485

Reference157 articles.

1. Falls and Fall Injuries Among Adults Aged ≥65 Years — United States, 2014

2. Trends in Nonfatal Falls and Fall-Related Injuries Among Adults Aged ≥65 Years — United States, 2012–2018

3. Falls in older persons: Risk factors and prevention;Berg,1992

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