Rule-based Fall Detection
Rule-Based Fall Detection is a fall detection method that uses predefined logical, threshold-based, or heuristic rules derived from domain knowledge to distinguish fall events from non-fall activities in sensor or video data.
10
Publications
493
Citations
33
Authors
21
Institutions
Publications per year
2017–2026
3
Parents
10
Improving Fall Detection Using an On-Wrist Wearable Accelerometer
Samad Barri Khojasteh, José R. Villar, Camelia Chira et al. · Sensors · 2018 · 136 citations · Full text
A smart sensor based on rules and its evaluation in daily routines
Norbert Noury, Pierre Barralon, G. Virone et al. · 2004 · 104 citations
Engineering, Mechatronics Engineering, Assistive Technology +16
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Sakarya University
Adapazarı, Türkiye
1 h-index
1 publications
136 citations
National Research Council
Rome, Italy
1 h-index
3 publications
156 citations
Institute for High Performance Computing and Networking
Rende, Italy
1 h-index
3 publications
156 citations

Centre National de la Recherche Scientifique
Paris, France
1 h-index
4 publications
416 citations
South-West State University
Kursk, Russia
1 h-index
1 publications
43 citations

Babeș-Bolyai University
Cluj-Napoca, Romania
1 h-index
1 publications
136 citations

University of the Aegean
Mytilene, Greece
1 h-index
1 publications
16 citations
Paris-Est Sup
Champs-sur-Marne, France
1 h-index
2 publications
66 citations
1–8 of 21
2 publications · 151 citations
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1 publications · 33 citations
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1 publications · 43 citations
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1 publications · 52 citations
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IJAIT · 1 publications · 16 citations
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