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
Parents
205
1–5 of 205
780
6
h-index
5
h-index
4
h-index
King Mongkut's University of Technology Thonburi, Thailand
4 publications · 92 citations
4
h-index
4
h-index
1–5 of 780
315

Hong Kong Polytechnic University
Hong Kong, Hong Kong
7 h-index
29 publications
1.8K citations
North Carolina State University
Raleigh, United States
5 h-index
11 publications
553 citations
King Mongkut's University of Technology Thonburi
Bangkok, Thailand
4 h-index
11 publications
246 citations
The University of Texas at Dallas
Richardson, United States
4 h-index
20 publications
1.2K citations

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
4 h-index
12 publications
366 citations

Texas Health Dallas
Dallas, United States
3 h-index
3 publications
166 citations

University of Toronto
Toronto, Canada
3 h-index
8 publications
279 citations
Intelligent Systems Research (United States)
Thousand Oaks, United States
3 h-index
11 publications
299 citations
1–8 of 315
9 publications · 330 citations
9
h-index
4 publications · 445 citations
4
h-index
3 publications · 200 citations
3
h-index
3 publications · 111 citations
3
h-index
3 publications · 70 citations
3
h-index
1–5