Fig. 6: Rapid Upper Limb Assessment (RULA) and hand activity level (HAL) prediction results.
From: Data-driven ergonomic risk assessment of complex hand-intensive manufacturing processes

Both the RULA (a–d) and HAL (e–h) predictors achieve over 95% classification accuracy for almost all the participants, across both the hands and tools. Instances of misclassification are primarily attributed to sensor malfunctions.