Fall Prediction
Fall Prediction is a computational method that distinguishes itself from other activity recognition techniques by forecasting the likelihood of a human fall before its occurrence through analysis of physiological, behavioral, or environmental indicators.
336
Publications
16.3K
Citations
1.6K
Authors
708
Institutions
Publications per year
2017–2026
183
Parents
336
Clinical and physiological assessments for elucidating falls risk in Parkinson's disease
Mark D. Latt, Stephen R. Lord, John G. Morris et al. · Movement Disorders · 2009 · 406 citations
Predictors of Falls Among Elderly People
Alan S. Robbins · Archives of Internal Medicine · 1989 · 371 citations
SmartFall: A Smartwatch-Based Fall Detection System Using Deep Learning
Taylor R. Mauldin, Marc E. Canby, Vangelis Metsis et al. · Sensors · 2018 · 246 citations · Full text
HMM-Based Human Fall Detection and Prediction Method Using Tri-Axial Accelerometer
Lina Tong, Quanjun Song, Yunjian Ge et al. · IEEE Sensors Journal · 2013 · 239 citations
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708

UNSW Sydney
Sydney, Australia
8 h-index
31 publications
1.2K citations

Neuroscience Research Australia
Sydney, Australia
7 h-index
19 publications
1.3K citations

The University of Sydney
Sydney, Australia
6 h-index
15 publications
1.1K citations
University of Utah
Salt Lake City, United States
6 h-index
13 publications
765 citations

Lund University
Lund, Sweden
5 h-index
16 publications
453 citations

Vrije Universiteit Amsterdam
Amsterdam, The Netherlands
5 h-index
23 publications
1.6K citations
Skåne University Hospital
Lund, Sweden
5 h-index
11 publications
380 citations

Washington University in St. Louis
St Louis, United States
5 h-index
14 publications
855 citations
1–8 of 708
19 publications · 987 citations
18
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8 publications · 567 citations
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8 publications · 626 citations
8
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6 publications · 245 citations
6
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5 publications · 266 citations
5
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