Home Fall Monitoring

Home Fall Monitoring is a fall prevention informatics framework that specifically enables continuous, unobtrusive detection and analysis of fall incidents within residential environments through sensor-based technologies and data-driven algorithms.

39

Publications

2.5K

Citations

163

Authors

68

Institutions

Publications per year

2017–2026

11

Authors

163

  1. MS
    Marjorie Skubic

    University of Missouri, United States

    4 publications · 717 citations

    4

    h-index

  2. EE
    Erik E. Stone

    University of Missouri, United States

    3 publications · 695 citations

    3

    h-index

  3. FJ
    Francisco J. Fernández-Luque

    Universidad Politécnica de Cartagena, Spain

    2 publications · 78 citations

    2

    h-index

  4. FK
    Frank Knoefel

    Carleton University, Canada

    2 publications · 39 citations

    2

    h-index

  5. RR
    Ramesh Rayudu

    Victoria University of Wellington, New Zealand

    2 publications · 141 citations

    2

    h-index

1–5 of 163

Venues

  1. 2

    h-index

  2. Journal of Biomedical Informatics

    1 publications · 18 citations

    1

    h-index

  3. Gait & Posture

    1 publications · 22 citations

    1

    h-index

  4. International Conference on Pervasive Computing

    Conference · 1 publications · 118 citations

    1

    h-index

  5. Procedia Engineering

    1 publications · 24 citations

    1

    h-index

1–5