Depth Sensor Fall Detection
Depth Sensor Fall Detection is a fall detection method that utilizes depth-sensing technology to capture three-dimensional spatial information for identifying human falls, distinguished from other methods by its reliance on depth data to enhance privacy preservation and mitigate challenges associated with occlusion and lighting variations.
41
Publications
3K
Citations
90
Authors
39
Institutions
Publications per year
2017–2026
17
Parents
41
A Depth-Based Fall Detection System Using a Kinect® Sensor
Samuele Gasparrini, Enea Cippitelli, Susanna Spinsante et al. · Sensors · 2014 · 194 citations · Full text
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Tun Hussein Onn University of Malaysia, Malaysia
4 publications · 114 citations
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1–5 of 90
39
AGH University of Krakow
Krakow, Poland
5 h-index
5 publications
845 citations
University of Rzeszów
Rzeszów, Poland
5 h-index
5 publications
845 citations
Warsaw University of Technology
Warsaw, Poland
4 h-index
13 publications
219 citations

Tun Hussein Onn University of Malaysia
Batu Pahat, Malaysia
4 h-index
12 publications
342 citations
University of Missouri
Columbia, United States
3 h-index
13 publications
1.4K citations
Ritsumeikan University
Kyoto, Japan
3 h-index
13 publications
350 citations

University of Sciences and Technology Houari Boumediene
Algiers, Algeria
2 h-index
4 publications
98 citations
German Jordanian University
Amman, Jordan
2 h-index
6 publications
201 citations
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6 publications · 354 citations
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2 publications · 54 citations
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2 publications · 810 citations
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1 publications · 12 citations
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Repository · 1 publications · 24 citations
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