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A hand speed - duty cycle equation for estimating the ACGIH hand activity level rating

机译:用于估计ACGIH手活动水平等级的手速-占空比方程

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摘要

An equation was developed for estimating hand activity level (HAL) directly from tracked root mean square (RMS) hand speed (S) and duty cycle (D). 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. Hands from 33 videos originally used for the HAL rating were tracked to estimate 5, 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. The equation: HAL = 10[e~(-15.87+0.02D+2.25 ln S)/(1 +e~(15.87+0.02D+2.25ln S)],R~2=0.97, had a residual range ±0.5 HAL. The S equation superiorly fits the Latko et al. (1997) data and predicted independently observed HAL values (Harris 2011) better (MSE = 0.16) than the F equation (MSE = 1.28).
机译:开发了一个公式,用于直接从跟踪的均方根(RMS)手速(S)和占空比(D)估算手的活动水平(HAL)。查表,方程式或无标记视频跟踪都可以根据运动/运动频率(F)和D估算HAL。由于自动估算F有时很复杂,因此使用S可以更轻松地评估HAL。最初用于HAL的33个视频中的指针跟踪等级以估计5,相对于手幅(HB)进行缩放,并使用单帧分析来测量D。由于HBs未知,因此采用蒙特卡洛方法来迭代估算美军人体测量学调查数据的回归系数。公式:HAL = 10 [e〜(-15.87 + 0.02D + 2.25ln S)/(1 + e〜(15.87 + 0.02D + 2.25ln S)],R〜2 = 0.97,残差范围为±0.5 HAL:S方程非常适合Latko等人(1997)的数据,与F方程(MSE = 1.28)相比,预测的独立观测HAL值(Harris 2011)更好(MSE = 0.16)。

著录项

  • 来源
    《Ergonomics》 |2015年第2期|184-194|共11页
  • 作者单位

    Department of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, WI, USA;

    Department of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, WI, USA;

    Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, USA;

    Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, USA;

    Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI, USA;

    Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI, USA;

    Department of Medicine, University of California, San Francisco, CA, USA;

    Department of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, WI, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    repetitive motion; work-related musculoskeletal disorders; exposure assessment;

    机译:重复运动与工作有关的肌肉骨骼疾病;接触评估;

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