Fall Detection
Fall Detection is a computational process in humanoid robotics that identifies the unplanned loss of postural stability, distinguishing it from other motion anomalies by its abruptness and deviation from intended locomotion dynamics.
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2017–2026
971
Variants
Falls Detection
Parents
2.1K
Development and initial validation of the Falls Efficacy Scale-International (FES-I)
Lucy Yardley, Nina Beyer, Klaus Hauer et al. · Age and Ageing · 2005 · 2.1K citations · Full text
Dean M. Karantonis, Michael R. Narayanan, M. Mathie et al. · IEEE Transactions on Information Technology in Biomedicine · 2006 · 1.2K citations
Engineering, Health Informatics, Mechatronics Engineering +17
A survey on fall detection: Principles and approaches
Muhammad Mubashir, Ling Shao · Neurocomputing · 2012 · 860 citations
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University of Missouri
Columbia, United States
23 h-index
129 publications
11K citations

UNSW Sydney
Sydney, Australia
23 h-index
127 publications
13.1K citations

Chinese Academy of Sciences
Beijing, China
18 h-index
85 publications
4.9K citations

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
17 h-index
63 publications
3.6K citations

Universidad de Málaga
Málaga, Spain
16 h-index
50 publications
2.9K citations

Centre National de la Recherche Scientifique
Paris, France
16 h-index
50 publications
2.3K citations
KU Leuven
Leuven, Belgium
16 h-index
81 publications
4.2K citations

Villanova University
Radnor, United States
16 h-index
39 publications
2.8K citations
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129 publications · 7.6K citations
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58 publications · 4.8K citations
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