Ambient Sensor-based Fall Detection

Ambient Sensor-Based Fall Detection is a fall detection method that utilizes environmental sensors embedded in the surroundings, rather than wearable or vision-based devices, to monitor and identify falls by analyzing changes in ambient conditions such as acoustic, infrared, or radio frequency signals.

35

Publications

1.6K

Citations

121

Authors

55

Institutions

Publications per year

2017–2026

19

Authors

121

  1. MM
    Muhammad Mahadi Abdul Jamil

    Tun Hussein Onn University of Malaysia, Malaysia

    2 publications · 58 citations

    2

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  2. YN
    Yoosuf Nizam

    Tun Hussein Onn University of Malaysia, Malaysia

    2 publications · 58 citations

    2

    h-index

  3. NH
    Nigel H. Lovell

    UNSW Sydney, Australia

    2 publications · 51 citations

    2

    h-index

  4. AR
    Amar Ramdane-Chérif

    Université de Versailles Saint-Quentin-en-Yvelines, France

    2 publications · 47 citations

    2

    h-index

  5. SJ
    Stephen J. Redmond

    UNSW Sydney, Australia

    2 publications · 51 citations

    2

    h-index

1–5 of 121

Venues

  1. 3

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  2. Procedia Computer Science

    2 publications · 58 citations

    2

    h-index

  3. IEEE Access

    2 publications · 72 citations

    2

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  4. Sensors

    2 publications · 125 citations

    2

    h-index

  5. Information

    1 publications · 20 citations

    1

    h-index

1–5