Automatic estimation of Hand Activity Level from upper-limb trajectories: a probabilistic regression framework
3.20T1 sourceErgonomics (Taylor & Francis)
Source record
Published by Ergonomics (Taylor & Francis) (T1 source). The original is at https://www.tandfonline.com/doi/full/10.1080/00140139.2025.2543047?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 study presenting a probabilistic regression framework to automatically estimate Hand Activity Level (HAL) from upper-limb motion trajectories, replacing manual ergonomic rating of repetitive work.
Why it mattersAutomates a standard ergonomic exposure metric from motion data, cutting the manual effort behind HAL ratings in workplace assessments.
Cited by
No citations on record.