Sensor-based Fall Monitoring

Sensor-Based Fall Monitoring is a technical framework within fall prevention informatics that employs sensor technologies to detect, analyze, and respond to human movement patterns and postural changes in real time for the purpose of identifying and mitigating fall events.

411

Publications

40.2K

Citations

1.5K

Authors

580

Institutions

Publications per year

2017–2026

157

Authors

1.5K

  1. MS
    Marjorie Skubic

    University of Missouri, United States

    12 publications · 817 citations

    12

    h-index

  2. MR
    Marilyn Rantz

    University of Missouri, United States

    11 publications · 664 citations

    11

    h-index

  3. MP
    Mihail Popescu

    University of Missouri, United States

    8 publications · 528 citations

    8

    h-index

  4. AB
    Alan Bourke

    University of Limerick, Ireland

    5 publications · 239 citations

    5

    h-index

  5. DC
    Damith C. Ranasinghe

    The University of Adelaide, Australia

    5 publications · 119 citations

    5

    h-index

1–5 of 1.5K

Venues

  1. Sensors

    26 publications · 1.1K citations

    18

    h-index

  2. IEEE Sensors Journal

    9 publications · 769 citations

    9

    h-index

  3. Procedia Computer Science

    6 publications · 392 citations

    6

    h-index

  4. Measurement

    6 publications · 253 citations

    6

    h-index

  5. Gerontology

    6 publications · 19.4K citations

    6

    h-index

1–5