Ambient Sensor-based Fall Detection
Ambient Sensor-Based Fall Detection is a fall detection method that utilizes environmental sensors embedded in the surroundings, rather than wearable or vision-based devices, to monitor and identify falls by analyzing changes in ambient conditions such as acoustic, infrared, or radio frequency signals.
35
Publications
1.6K
Citations
121
Authors
55
Institutions
Publications per year
2017–2026
19
Parents
35
1–5 of 35
121
Tun Hussein Onn University of Malaysia, Malaysia
2 publications · 58 citations
2
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2
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2
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Université de Versailles Saint-Quentin-en-Yvelines, France
2 publications · 47 citations
2
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2
h-index
1–5 of 121
55

Tun Hussein Onn University of Malaysia
Batu Pahat, Malaysia
2 h-index
7 publications
186 citations

University of Sciences and Technology Houari Boumediene
Algiers, Algeria
2 h-index
6 publications
141 citations

Marche Polytechnic University
Ancona, Italy
2 h-index
10 publications
205 citations
Université de Versailles Saint-Quentin-en-Yvelines
Versailles, France
2 h-index
2 publications
47 citations

UNSW Sydney
Sydney, Australia
2 h-index
9 publications
214 citations

Universitatea Națională de Știință și Tehnologie Politehnica București
Bucharest, Romania
2 h-index
5 publications
92 citations
University of the West of Scotland
Paisley, United Kingdom
1 h-index
3 publications
1.6K citations

Washington State University
Pullman, United States
1 h-index
1 publications
121 citations
1–8 of 55
3 publications · 686 citations
3
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2 publications · 58 citations
2
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2 publications · 72 citations
2
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2 publications · 125 citations
2
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1 publications · 20 citations
1
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1–5