Fall Prevention Robots

Fall Prevention Robots is an assistive medical robot system designed to detect, predict, and actively intervene to mitigate fall risks in real time, particularly for elderly or mobility-impaired individuals, through sensor-based monitoring, environmental adaptation, or physical support mechanisms.

43

Publications

1.3K

Citations

152

Authors

55

Institutions

Publications per year

2017–2026

11

Authors

152

  1. JH
    Jian Huang

    Huazhong University of Science and Technology, China

    6 publications · 213 citations

    6

    h-index

  2. PD
    Pei Di

    Nagoya University, Japan

    5 publications · 200 citations

    5

    h-index

  3. KS
    Kosuke Sekiyama

    Nagoya University, Japan

    4 publications · 170 citations

    4

    h-index

  4. QH
    Qiang Huang

    Beijing Institute of Technology, China

    4 publications · 164 citations

    4

    h-index

  5. TF
    Toshio Fukuda

    Nagoya University, Japan

    4 publications · 164 citations

    4

    h-index

1–5 of 152

Venues

  1. Society of Instrument and Control Engineers of Japan

    Conference · 2 publications · 26 citations

    2

    h-index

  2. 1

    h-index

  3. International Journal of Advanced Robotic Systems

    ARS · 1 publications · 14 citations

    1

    h-index

  4. Advanced Robotics

    1 publications · 66 citations

    1

    h-index

  5. Figshare

    Repository · 1 publications · 56 citations

    1

    h-index

1–5