Fall Event Detection

Fall Event Detection is a computational method within fall prevention informatics that distinguishes itself by automatically identifying the occurrence of a human fall from sensor or video data in real time.

808

Publications

62.2K

Citations

2.5K

Authors

867

Institutions

Publications per year

2017–2026

384

Authors

2.5K

  1. MS
    Marjorie Skubic

    University of Missouri, United States

    13 publications · 1.5K citations

    12

    h-index

  2. MP
    Mihail Popescu

    University of Missouri, United States

    11 publications · 872 citations

    11

    h-index

  3. MG
    Moeness G. Amin

    Villanova University, United States

    11 publications · 1.1K citations

    11

    h-index

  4. MR
    Marilyn Rantz

    University of Missouri, United States

    10 publications · 854 citations

    10

    h-index

  5. AB
    Alan Bourke

    University of Limerick, Ireland

    10 publications · 1.4K citations

    10

    h-index

1–5 of 2.5K

Venues

  1. Sensors

    37 publications · 2K citations

    25

    h-index

  2. IEEE Sensors Journal

    23 publications · 1.6K citations

    20

    h-index

  3. IEEE Access

    16 publications · 801 citations

    16

    h-index

  4. Multimedia Tools and Applications

    14 publications · 442 citations

    13

    h-index

  5. Expert Systems with Applications

    12 publications · 686 citations

    12

    h-index

1–5