Context-aware Fall Detection

Context-Aware Fall Detection is a fall detection framework that incorporates environmental, behavioral, and situational contextual information to distinguish genuine fall events from non-fall activities more accurately than context-agnostic approaches.

33

Publications

1.5K

Citations

118

Authors

64

Institutions

Publications per year

2017–2026

11

Authors

118

  1. MG
    Matjaž Gams

    Jožef Stefan Institute, Slovenia

    4 publications · 126 citations

    4

    h-index

  2. ML
    Mitja Luštrek

    Jožef Stefan Institute, Slovenia

    4 publications · 126 citations

    4

    h-index

  3. HG
    Hristijan Gjoreski

    Ss. Cyril and Methodius University in Skopje, North Macedonia

    4 publications · 126 citations

    4

    h-index

  4. VM
    Violeta Mirchevska

    Jožef Stefan Institute, Slovenia

    3 publications · 103 citations

    3

    h-index

  5. BC
    Božidara Cvetković

    Jožef Stefan Institute, Slovenia

    3 publications · 103 citations

    3

    h-index

1–5 of 118

Venues

  1. 2

    h-index

  2. International Journal of Artificial Intelligence Tools

    IJAIT · 1 publications · 30 citations

    1

    h-index

  3. Expert Systems with Applications

    1 publications · 58 citations

    1

    h-index

  4. Telecommunication Systems

    1 publications · 40 citations

    1

    h-index

  5. Indian Journal of Science and Technology

    1 publications · 18 citations

    1

    h-index

1–5