A hand speed-duty cycle equation for estimating the ACGIH hand activity level rating.
A hand speed-duty cycle equation for estimating the ACGIH hand activity level rating.
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DOI：
10.1080/00140139.2014.966155
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发表时间：
2015
期刊：
影响因子：
2.4
通讯作者：
Radwin RG
中科院分区：
文献类型：
--
作者：
Akkas O;Azari DP;Chen CH;Hu YH;Ulin SS;Armstrong TJ;Rempel D;Radwin RG
开发了用于直接从跟踪的RMS手速度（S）和占空比（D）估计手活动水平（HAL）的方程。表格查找、等式或无标记视频跟踪可以从运动/用力频率（F）和D估计HAL。由于自动估计F有时是复杂的，HAL可以更容易地使用S来评估。最初用于HAL评级的33个视频中的手被跟踪以估计S，相对于手宽（HB）进行缩放，单帧分析用于测量D。由于HB是未知的，采用蒙特卡罗方法迭代估计回归系数从美国陆军人体测量调查数据。方程：R2 = 0.97，残差范围为±0.5 HAL。与F方程（MSE=1.28）相比，S方程更好地拟合数据，并预测独立观察到的HAL值（MSE=0.16）。根据手RMS速度和占空比，开发了一个公式，用于估计ACGIH Threshold Limit Value®的HAL等级。使用半自动无标记跟踪的视频比频率更容易评估速度。速度方程预测观察到的HAL值比F方程好得多。
An equation was developed for estimating hand activity level (HAL) directly from tracked 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 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. The equation: , R2 = 0.97, had a residual range ±0.5 HAL. The S equation superiorly fit the data and predicted independently observed HAL values better (MSE=0.16) than the F equation (MSE=1.28). 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.