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传统二维视频在重复运动职业任务中量化上肢运动学的准确性。

The accuracy of conventional 2D video for quantifying upper limb kinematics in repetitive motion occupational tasks.

作者信息

Chen Chia-Hsiung, Azari David P, Hu Yu Hen, Lindstrom Mary J, Thelen Darryl, Yen Thomas Y, Radwin Robert G

机构信息

a Department of Electrical and Computer Engineering , University of Wisconsin-Madison , Madison , WI 53706 , USA.

b Department of Industrial and Systems Engineering , University of Wisconsin-Madison , Madison , WI 53706 , USA.

出版信息

Ergonomics. 2015;58(12):2057-66. doi: 10.1080/00140139.2015.1051594. Epub 2015 Jun 18.

Abstract

Marker-less 2D video tracking was studied as a practical means to measure upper limb kinematics for ergonomics evaluations. Hand activity level (HAL) can be estimated from speed and duty cycle. Accuracy was measured using a cross-correlation template-matching algorithm for tracking a region of interest on the upper extremities. Ten participants performed a paced load transfer task while varying HAL (2, 4, and 5) and load (2.2 N, 8.9 N and 17.8 N). Speed and acceleration measured from 2D video were compared against ground truth measurements using 3D infrared motion capture. The median absolute difference between 2D video and 3D motion capture was 86.5 mm/s for speed, and 591 mm/s(2) for acceleration, and less than 93 mm/s for speed and 656 mm/s(2) for acceleration when camera pan and tilt were within ± 30 degrees. Single-camera 2D video had sufficient accuracy (< 100 mm/s) for evaluating HAL. Practitioner Summary: This study demonstrated that 2D video tracking had sufficient accuracy to measure HAL for ascertaining the American Conference of Government Industrial Hygienists Threshold Limit Value(®) for repetitive motion when the camera is located within ± 30 degrees off the plane of motion when compared against 3D motion capture for a simulated repetitive motion task.

摘要

无标记二维视频跟踪作为一种测量上肢运动学以进行人体工程学评估的实用方法进行了研究。手部活动水平(HAL)可根据速度和占空比进行估计。使用互相关模板匹配算法测量准确性,以跟踪上肢的感兴趣区域。十名参与者在改变HAL(2、4和5)和负荷(2.2 N、8.9 N和17.8 N)的同时执行了有节奏的负荷转移任务。将二维视频测量的速度和加速度与使用三维红外运动捕捉的地面真值测量进行比较。二维视频和三维运动捕捉之间的中位绝对差,速度为86.5毫米/秒,加速度为591毫米/秒²,当摄像机的平移和倾斜在±30度范围内时,速度小于93毫米/秒,加速度小于656毫米/秒²。单摄像头二维视频对于评估HAL具有足够的准确性(<100毫米/秒)。从业者总结:本研究表明,对于模拟重复运动任务,当与三维运动捕捉相比,摄像机位于与运动平面偏离±30度范围内时,二维视频跟踪具有足够的准确性来测量HAL,以确定美国政府工业卫生学家会议重复性运动的阈限值(®)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b010/4684497/3c768ee85e50/nihms-700089-f0001.jpg

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