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A hand speed and duty cycle equation for estimating the ACGIH hand activity level rating
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Details:
  • Pubmed ID:
    25343278
  • Pubmed Central ID:
    PMC4664886
  • Description:
    Objective

    An equation was developed for estimating hand activity level (HAL) directly from tracked RMS hand speed (S) and duty cycle (D).

    Background

    Table lookup, equation, or marker-less video tracking can estimate HAL from motion/exertion frequency (F) and D. Since automatically estimating F is sometimes complex, HAL may be more readily assessed using S.

    Methods

    Hands from 33 videos originally used for the HAL rating were tracked to estimate S, scaled relative to hand breadth (HB), and single-frame analysis was used to measure D. Since HBs were unknown, a Monte Carlo method was employed for iteratively estimating the regression coefficients from US Army anthropometry survey data.

    Results

    The equation: =10[e−15.87+0.02D+2.25lnS1+e−15.87+0.02D+2.25lnS], R2 = 0.97, had a residual range ±0.5 HAL.

    Conclusions

    The S equation superiorly fit the Latko (1997) data and predicted independently observed HAL values (Harris, 2011) better (MSE=0.16) than the F equation (MSE=1.28).

    Practitioner Summary

    An equation was developed for estimating the HAL rating for the ACGIH Threshold Limit Value® based on hand RMS speed and duty cycle. Speed is more readily evaluated from videos using semi-automatic markerless tracking, than frequency. The speed equation predicted observed HAL values much better than the F equation.

  • Document Type:
  • Collection(s):
  • Funding:
    R01 OH007914/OH/NIOSH CDC HHS/United States
    R01OH007914/OH/NIOSH CDC HHS/United States
    R21 EB014583/EB/NIBIB NIH HHS/United States
    R21 OH010221/OH/NIOSH CDC HHS/United States
    R21OH010221/OH/NIOSH CDC HHS/United States
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