Abnormal Posture Detection

Abnormal Posture Detection is a computational method in fall detection systems that identifies deviations from typical human postures by analyzing spatial and temporal body configurations to distinguish potentially hazardous or non-neutral positions indicative of falls or impending falls.

134

Publications

5.5K

Citations

451

Authors

188

Institutions

Publications per year

2017–2026

76

Authors

451

  1. MN
    Mehrdad Nourani

    The University of Texas at Dallas, United States

    4 publications · 186 citations

    4

    h-index

  2. SM
    Syed Mohsen Naqvi

    Newcastle University, United Kingdom

    4 publications · 496 citations

    4

    h-index

  3. SO
    Sarah Ostadabbas

    Northeastern University, United States

    4 publications · 186 citations

    4

    h-index

  4. MB
    Maziyar Baran Pouyan

    The University of Texas at Dallas, United States

    3 publications · 141 citations

    3

    h-index

  5. MF
    M. Farshbaf

    Texas Health Dallas, United States

    2 publications · 71 citations

    2

    h-index

1–5 of 451

Venues

  1. Sensors

    10 publications · 365 citations

    11

    h-index

  2. IEEE Sensors Journal

    3 publications · 140 citations

    3

    h-index

  3. PubMed

    Repository · 2 publications · 62 citations

    2

    h-index

  4. Neurocomputing

    2 publications · 43 citations

    2

    h-index

  5. Advanced Engineering Informatics

    2 publications · 148 citations

    2

    h-index

1–5