Fall Detection Devices
Fall Detection Devices is an assistive technology that automatically identifies unintentional falls through sensor-based monitoring and distinguishes them from other movements using predefined kinematic thresholds or machine learning algorithms.
235
Publications
30.2K
Citations
909
Authors
324
Institutions
Publications per year
2017–2026
77
Parents
235
A Smart and Passive Floor-Vibration Based Fall Detector for Elderly
M. Alwan, Prabhu Jude Rajendran, S. Kell et al. · 2006 · 400 citations
iFall: An android application for fall monitoring and response
Frank Sposaro, Gary Tyson · 2009 · 318 citations
1–5 of 235
909
5
h-index
5
h-index
Translational Innovation in Medicine and Complexity, France
4 publications · 199 citations
4
h-index
3
h-index
3
h-index
1–5 of 909
324

UNSW Sydney
Sydney, Australia
7 h-index
26 publications
1.8K citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
14 publications
407 citations
University of Missouri
Columbia, United States
4 h-index
13 publications
597 citations
Translational Innovation in Medicine and Complexity
Grenoble, France
4 h-index
6 publications
260 citations

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
4 h-index
21 publications
1.4K citations
University of Washington
Seattle, United States
3 h-index
10 publications
340 citations
National University of Singapore
Singapore, Singapore
3 h-index
11 publications
477 citations

University of Limerick
Limerick, Ireland
3 h-index
16 publications
559 citations
1–8 of 324
7 publications · 925 citations
7
h-index
3 publications · 329 citations
3
h-index
3 publications · 404 citations
3
h-index
3 publications · 508 citations
3
h-index
3 publications · 217 citations
3
h-index
1–5