Sensor-based Fall Monitoring
Sensor-Based Fall Monitoring is a technical framework within fall prevention informatics that employs sensor technologies to detect, analyze, and respond to human movement patterns and postural changes in real time for the purpose of identifying and mitigating fall events.
411
Publications
40.2K
Citations
1.5K
Authors
580
Institutions
Publications per year
2017–2026
157
Parents
411
Wearable Sensors for Reliable Fall Detection
J. Chen, K. K. Kwong, David C. Chang et al. · 2005 · 447 citations
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University of Missouri
Columbia, United States
12 h-index
52 publications
3.3K citations

Centre National de la Recherche Scientifique
Paris, France
10 h-index
19 publications
1.8K citations

UNSW Sydney
Sydney, Australia
8 h-index
34 publications
1.8K citations

Université Grenoble Alpes
Saint-Martin-d'Hères, France
6 h-index
6 publications
261 citations

The University of Adelaide
Adelaide, Australia
5 h-index
19 publications
418 citations

Huazhong University of Science and Technology
Wuhan, China
5 h-index
10 publications
268 citations

Neuroscience Research Australia
Sydney, Australia
5 h-index
18 publications
1.2K citations
KU Leuven
Leuven, Belgium
5 h-index
25 publications
2.3K citations
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26 publications · 1.1K citations
18
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9 publications · 769 citations
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6 publications · 392 citations
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6 publications · 253 citations
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6 publications · 19.4K citations
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