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

Authors

90

  1. MK
    Michał Kępski

    University of Rzeszów, Poland

    6 publications · 860 citations

    6

    h-index

  2. BK
    Bogdan Kwolek

    AGH University of Krakow, Poland

    5 publications · 845 citations

    5

    h-index

  3. MN
    Mohd Norzali Haji Mohd

    Tun Hussein Onn University of Malaysia, Malaysia

    4 publications · 114 citations

    4

    h-index

  4. PM
    Paweł Mazurek

    Warsaw University of Technology, Poland

    4 publications · 66 citations

    4

    h-index

  5. YN
    Yoosuf Nizam

    Tun Hussein Onn University of Malaysia, Malaysia

    4 publications · 114 citations

    4

    h-index

1–5 of 90

Venues

  1. Sensors

    6 publications · 354 citations

    6

    h-index

  2. Applied Sciences

    2 publications · 54 citations

    2

    h-index

  3. 2

    h-index

  4. 1

    h-index

  5. 1

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1–5