Fall Detection Robots

Fall Detection Robots is a type of assistive medical robot designed to autonomously monitor individuals and detect unintended falls in real time, distinguished by its specialized integration of sensor fusion, motion analysis, and alarm triggering mechanisms to enable rapid response in healthcare environments.

15

Publications

431

Citations

76

Authors

25

Institutions

Publications per year

2017–2026

8

Authors

76

  1. AW
    Astrid Weiss

    University of Salzburg, Austria

    2 publications · 84 citations

    2

    h-index

  2. DF
    David Fischinger

    TU Wien, Austria

    2 publications · 84 citations

    2

    h-index

  3. MS
    Midori Sugaya

    Shibaura Institute of Technology, Japan

    2 publications · 68 citations

    2

    h-index

  4. MV
    Markus Vincze

    TU Wien, Austria

    2 publications · 84 citations

    2

    h-index

  5. RH
    Raimir Holanda Filho

    Universidade de Fortaleza, Brazil

    1 publications · 20 citations

    1

    h-index

1–5 of 76

Venues

  1. Procedia Computer Science

    2 publications · 68 citations

    2

    h-index

  2. Expert Systems with Applications

    1 publications · 35 citations

    1

    h-index

  3. Journal of Computing in Civil Engineering

    1 publications · 32 citations

    1

    h-index

  4. Nuclear Engineering and Technology

    1 publications · 13 citations

    1

    h-index

  5. 1

    h-index

1–5