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Related Experiment Video

Updated: May 16, 2026

Measurement of the Hand Transmitted Vibration of the Human Hand Arm System During Operation of a Hand Tractor

Measurement of the Hand Transmitted Vibration of the Human Hand Arm System During Operation of a Hand Tractor

Published on: June 16, 2021

Estimating maximum and psychophysically acceptable hand forces using a biomechanical weakest link approach.

Steven L Fischer¹, Clark R Dickerson, Richard P Wells

¹a Department of Kinesiology , University of Waterloo , 200 University Avenue W, Waterloo , ON Canada N2L 3G1.

Computer Methods in Biomechanics and Biomedical Engineering

|December 6, 2012

Summary

A new model estimates hand force capability by considering biomechanical factors. It shows that improving maximum force estimation can enhance predictions of acceptable hand forces for job design.

Keywords:

hand force joint strength kinetics psychophysics stochastic

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Area of Science:

Ergonomics and Human Factors
Biomechanics
Occupational Health

Background:

Accurate occupational performance capability estimation is crucial for effective job (re-) design.
Understanding mismatches between job demands and workforce capability informs workplace adjustments.
Estimating occupational performance necessitates considering multiple factors influencing capacity.

Purpose of the Study:

To introduce a novel model using a stochastic algorithm to estimate hand force capability.
To assess how biomechanical constraints variability impacts hand force capacity.
To estimate psychophysically acceptable hand force thresholds using a biomechanical weakest link approach.

Main Methods:

Development of a novel stochastic algorithm model for hand force capability estimation.
Application of a biomechanical weakest link approach to determine psychophysically acceptable thresholds.
Experimental validation against measured maximal and psychophysically determined hand forces in constrained postures.

Main Results:

The model underestimated maximal hand force capacity by 30% (downward pressing) and 35% (horizontal pulling).
Psychophysically acceptable forces were underestimated by 29% in both pressing and pulling tasks.
Underestimation suggests a need for improved maximal hand force estimation for accurate psychophysical predictions.

Conclusions:

The developed model provides insights into factors affecting hand force capability.
Psychophysically acceptable forces are influenced by demands at the biomechanical weakest link.
Refining maximal force estimation is key to improving predictions of acceptable hand forces for occupational settings.