Computer Vision Based Posture Monitoring

Computer Vision Based Posture Monitoring is a non-intrusive, image-driven methodological framework within ergonomic risk surveillance that leverages digital visual data and machine learning algorithms to automatically detect, analyze, and evaluate human body postures in real-time for the identification of musculoskeletal disorder risks.

205

Publications

8.4K

Citations

780

Authors

315

Institutions

Publications per year

2017–2026

125

Authors

780

  1. SO
    Sarah Ostadabbas

    Northeastern University, United States

    6 publications · 329 citations

    6

    h-index

  2. MN
    Mehrdad Nourani

    The University of Texas at Dallas, United States

    5 publications · 281 citations

    5

    h-index

  3. YY
    Yantao Yu

    Hong Kong Polytechnic University, Hong Kong SAR China

    4 publications · 320 citations

    4

    h-index

  4. PM
    Pornchai Mongkolnam

    King Mongkut's University of Technology Thonburi, Thailand

    4 publications · 92 citations

    4

    h-index

  5. CZ
    Chan Zheng

    South China Agricultural University, China

    4 publications · 189 citations

    4

    h-index

1–5 of 780

Venues

  1. Sensors

    9 publications · 330 citations

    9

    h-index

  2. Automation in Construction

    4 publications · 445 citations

    4

    h-index

  3. Advanced Engineering Informatics

    3 publications · 200 citations

    3

    h-index

  4. Electronics

    3 publications · 111 citations

    3

    h-index

  5. Biosystems Engineering

    3 publications · 70 citations

    3

    h-index

1–5