A video-based assessment tool using machine learning for ergonomic risk prediction in manual lifting tasks
3.40T1 sourceErgonomics (Taylor & Francis)
Source record
Published by Ergonomics (Taylor & Francis) (T1 source). The original is at https://www.tandfonline.com/doi/full/10.1080/00140139.2025.2608276?af=R.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryA peer-reviewed paper presents a video-based tool that uses machine learning to predict ergonomic risk during manual lifting tasks, aiming to automate and objectify ergonomic assessment in physical work settings.
Why it mattersProvides a concrete ML-based method for quantifying lifting risk, applicable to workplace safety and ergonomics programs.
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