Gyroscope-based Fall Detection

Gyroscope-Based Fall Detection is a fall detection method that utilizes angular velocity data from gyroscopic sensors to identify abnormal body movements characteristic of falls, distinguishing it from other approaches through its reliance on rotational motion measurement.

33

Publications

2.3K

Citations

143

Authors

50

Institutions

Publications per year

2017–2026

13

Authors

143

  1. TQ
    Trần Quang Bình

    Cho Ray Hospital, Vietnam

    2 publications · 160 citations

    2

    h-index

  2. CL
    Chih‐Lung Lin

    National Cheng Kung University, Taiwan

    2 publications · 95 citations

    2

    h-index

  3. UD
    Uyen D. Nguyen

    Catholic University of America, United States

    2 publications · 160 citations

    2

    h-index

  4. QT
    Quoc Thien Huynh

    Duy Tan University, Vietnam

    2 publications · 160 citations

    2

    h-index

  5. RP
    Rina Primadianti Bahri

    Universitas Sumatera Utara, Indonesia

    1 publications · 18 citations

    1

    h-index

1–5 of 143

Venues

  1. Sensors

    3 publications · 99 citations

    3

    h-index

  2. 1

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  3. Journal of Advanced Transportation

    1 publications · 41 citations

    1

    h-index

  4. City Research Online (City University London)

    Repository · 1 publications · 34 citations

    1

    h-index

  5. 1

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1–5