Sensor-based Fall Assessment
Sensor-Based Fall Assessment is a methodological framework that distinguishes itself from other fall assessment approaches by utilizing data from wearable or ambient sensors to objectively identify, analyze, and evaluate fall events and related biomechanical parameters in real time.
157
Publications
7.3K
Citations
621
Authors
265
Institutions
Publications per year
2017–2026
71
Parents
157
Objective Assessment of Fall Risk in Parkinson's Disease Using a Body-Fixed Sensor Worn for 3 Days
Aner Weiss, Talia Herman, Nir Giladi et al. · PLoS ONE · 2014 · 222 citations · Full text
Silvia Del Din, Brook Galna, Alan Godfrey et al. · The Journals of Gerontology Series A · 2017 · 197 citations · Full text
1–5 of 157
621
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265

UNSW Sydney
Sydney, Australia
10 h-index
46 publications
2.1K citations
University College Dublin
Dublin, Ireland
9 h-index
21 publications
712 citations

Neuroscience Research Australia
Sydney, Australia
8 h-index
25 publications
1.3K citations
Intel (Ireland)
Leixlip, Ireland
8 h-index
17 publications
1.4K citations
St. James's Hospital
Dublin, Ireland
7 h-index
18 publications
1.6K citations

University of Vermont
Burlington, United States
5 h-index
29 publications
1.4K citations
Medizinische Hochschule Hannover
Hanover, Germany
5 h-index
10 publications
649 citations
Kinesis Health Technologies (Ireland)
Dublin, Ireland
5 h-index
7 publications
325 citations
1–8 of 265
18 publications · 502 citations
15
h-index
6 publications · 481 citations
6
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4 publications · 560 citations
4
h-index
4 publications · 192 citations
4
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2 publications · 43 citations
3
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