SAFELIFT Dataset: Safety-Aware Feedback for Ergonomic Lifting & Injury-Free Tasks

This dataset supports the research presented in "SAFELIFT: Safety-Aware Feedback for Ergonomic Lifting & Injury-Free Tasks". It consists of annotated videos of individuals performing lifting tasks under controlled conditions. The dataset is designed to facilitate research in computer vision, ergonomics, and human-centered AI, particularly in the development of systems that assess and improve lifting posture using the Revised NIOSH Lifting Equation (RNLE).

Each video captures a person lifting a package from the floor to a target surface, simulating typical workplace lifting scenarios. Annotations include posture-dependent measurements such as:

• Horizontal hand distance (H)

• Vertical hand position (V)

• Vertical displacement (D)

These measurements are aligned with the RNLE and can be used to compute the Recommended Weight Limit (RWL) and the Lifting Index (LI) for ergonomic risk assessment.

Ethics and Privacy:
All participants provided informed consent. The dataset has been approved by TU Delft institutional review board for privacy and ethical compliance.

License:
CC BY-NC-SA 4.0

Suggested Citation:

BibTeX format:
@inproceedings{Dibenedetto26IUI,
  author       = {Gaetano Dibenedetto and Pasquale Lops and Piero Lovreglio and Marco Polignano and Roberto Ravallese and Helma Torkamaan},
  title        = {SAFELIFT: Safety-Aware Feedback for Ergonomic Lifting \& Injury-Free Tasks},
  booktitle    = {Proceedings of the 31th International Conference on Intelligent User Interfaces, {IUI} 2026, Paphos, Cyprus, March 23-26, 2026},
  publisher    = {{ACM}},
  year         = {2026},
  url          = {https://doi.org/10.1145/3742413.3789143},
  doi          = {10.1145/3742413.3789143}
}

ACM Reference Format:

Gaetano Dibenedetto, Pasquale Lops, Piero Lovreglio, Marco Polignano, Roberto Ravallese, and Helma Torkamaan. 2026. SAFELIFT: Safety-Aware Feedback for Ergonomic Lifting & Injury-Free Tasks. In 31st International Conference on Intelligent User Interfaces (IUI ’26), March 23–26, 2026, Paphos, Cyprus. ACM, New York, NY, USA, 16 pages. https://doi.org/10.1145/3742413.3789143