Automated Ergonomic Risk Assessment of Wheelchair Users During Cabinet Interaction Using Vision-Based 3D Pose Estimation
Yilin Xu, Ziqian Yang, Tao Sun, Jiachuan Ning · 2026
Read Automated Ergonomic Risk Assessment of Wheelchair Users During Cabinet Interaction Using Vision-Based 3D Pose Estimation by Yilin Xu, Ziqian Yang, Tao Sun, Jiachuan Ning (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13165626.txt.
Description
Yilin Xu, Ziqian Yang, Tao Sun, and Jiachuan Ning score ergonomic risk for wheelchair users working at cabinets, straight from video. Safe help in smart health settings needs constant reading of body motion. Their pipeline detects the person with YOLOv11, rebuilds 3D pose with MHFormer, and feeds the motion into a fuzzy logic version of the RULA scoring model. A study dataset was filmed for the task.
Thirty people took part, 14 experienced wheelchair users and 16 trained stand-ins, across five cabinet tasks. About five hours of video yielded 10,000 sampled frames for model building. The system turns raw video into steady kinematic traces and continuous risk scores.
Catalog record
| CREATOR | Yilin Xu, Ziqian Yang, Tao Sun, Jiachuan Ning |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 89 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |