Concepedia

Deep Learning For Fall Detection

Deep Learning for Fall Detection is a computational framework that employs hierarchical neural network architectures to automatically learn discriminative features from sensor or video data for the precise identification of human falls, distinguishing it from traditional rule-based or shallow machine learning approaches by its capacity for end-to-end representation learning.

249

Publications

13.3K

Citations

875

Authors

347

Institutions

Publications per year

2017–2026

236

Parents

Publications

249

Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges

Henry Friday Nweke, Mohammed Ali Al-Garadi, Uzoma Rita Alo · Expert Systems with Applications · 2018 · 903 citations

, , +17

Radar-Based Human-Motion Recognition With Deep Learning: Promising Applications for Indoor Monitoring

Sevgi Zübeyde Gürbüz, Moeness G. Amin · IEEE Signal Processing Magazine · 2019 · 407 citations

, , +16

Deep Learning for Fall Detection: Three-Dimensional CNN Combined With LSTM on Video Kinematic Data

Na Lü, Yidan Wu, Feng Li et al. · IEEE Journal of Biomedical and Health Informatics · 2018 · 334 citations

, , +16

Vision-Based Fall Detection with Convolutional Neural Networks

Adrián Núñez-Marcos, Gorka Azkune, Ignacio Arganda‐Carreras · Wireless Communications and Mobile Computing · 2017 · 274 citations · Full text

, , +16

Fall Detection Using Deep Learning in Range-Doppler Radars

Branka Jokanović, Moeness G. Amin · IEEE Transactions on Aerospace and Electronic Systems · 2017 · 258 citations

, , +15

1–5 of 249

Authors

875

  1. WM
    Weidong Min

    Nanchang University, China

    6 publications · 285 citations

    6

    h-index

  2. SR
    Sreeraman Rajan

    Carleton University, Canada

    5 publications · 214 citations

    5

    h-index

  3. IY
    Irene Yu‐Hua Gu

    Chalmers University of Technology, Sweden

    4 publications · 95 citations

    4

    h-index

  4. EC
    E. Casilari

    Universidad de Málaga, Spain

    4 publications · 243 citations

    4

    h-index

  5. MG
    Moeness G. Amin

    Villanova University, United States

    4 publications · 868 citations

    4

    h-index

1–5 of 875

Institutions

347

  1. Nanchang University

    Nanchang, China

    7 h-index

    33 publications

    1.5K citations

  2. Carleton University

    Ottawa, Canada

    6 h-index

    7 publications

    368 citations

  3. King Saud University

    Riyadh, Saudi Arabia

    6 h-index

    14 publications

    576 citations

  4. University of Ottawa

    Ottawa, Canada

    4 h-index

    8 publications

    392 citations

  5. Shenzhen University

    Shenzhen, China

    4 h-index

    9 publications

    417 citations

  6. Chalmers University of Technology

    Gothenburg, Sweden

    4 h-index

    8 publications

    190 citations

  7. Universidad de Málaga

    Málaga, Spain

    4 h-index

    13 publications

    794 citations

  8. University of British Columbia

    Vancouver, Canada

    4 h-index

    11 publications

    253 citations

1–8 of 347

Venues

  1. Sensors

    21 publications · 1.2K citations

    19

    h-index

  2. IEEE Access

    19 publications · 1.1K citations

    18

    h-index

  3. IEEE Sensors Journal

    10 publications · 626 citations

    9

    h-index

  4. IEEE Internet of Things Journal

    5 publications · 274 citations

    5

    h-index

  5. Electronics

    5 publications · 188 citations

    5

    h-index

1–5