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Prediction accuracy in estimating joint angle trajectories using a video posture coding method for sagittal lifting tasks

机译:使用视频姿态编码方法估算弧矢提升任务的关节角度轨迹的预测精度

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摘要

This study investigated prediction accuracy of a video posture coding method for lifting joint trajectory estimation. From three filming angles, the coder selected four key snapshots, identified joint angles and then a prediction program estimated the joint trajectories over the course of a lift. Results revealed a limited range of differences of joint angles (elbow, shoulder, hip, knee, ankle) between the manual coding method and the electromagnetic motion tracking system approach. Lifting range significantly affected estimate accuracy for all joints and camcorder filming angle had a significant effect on all joints but the hip. Joint trajectory predictions were more accurate for knuckle-to-shoulder lifts than for floor-to-shoulder or floor-to-knuckle lifts with average root mean square errors (RMSE) of 8.65°, 11.15° and 11.93°, respectively. Accuracy was also greater for the filming angles orthogonal to the participant's sagittal plane (RMSE = 9.97°) as compared to filming angles of 45° (RMSE = 11.01°) or 135° (10.71°). The effects of lifting speed and loading conditions were minimal. To further increase prediction accuracy, improved prediction algorithms and/or better posture matching methods should be investigated.
机译:本研究调查了用于提升关节轨迹估计的视频姿态编码方法的预测精度。编码人员从三个拍摄角度选择了四个关键快照,确定了关节角度,然后一个预测程序估计了整个升降过程中的关节轨迹。结果显示,手动编码方法和电磁运动跟踪系统方法之间的关节角度(肘部,肩膀,臀部,膝盖,脚踝)的差异范围有限。抬高范围会显着影响所有关节的估计准确性,而摄录机的拍摄角度对除髋关节以外的所有关节都有显着影响。关节轨迹预测的关节到地面的举升要比地板到肩膀或地面到关节的举升更准确,其平均均方根误差(RMSE)分别为8.65°,11.15°和11.93°。与45°(RMSE = 11.01°)或135°(10.71°)的拍摄角度相比,正交于参与者矢状面的拍摄角度(RMSE = 9.97°)的准确性也更高。提升速度和装载条件的影响很小。为了进一步提高预测精度,应该研究改进的预测算法和/或更好的姿势匹配方法。

著录项

  • 来源
    《Ergonomics》 |2010年第8期|P.1039-1047|共9页
  • 作者单位

    Liberty Mutual Research Institute for Safety, 71 Frankland Road, Hopkinton, MA 01748, USA;

    rnLiberty Mutual Research Institute for Safety, 71 Frankland Road, Hopkinton, MA 01748, USA;

    rnLiberty Mutual Research Institute for Safety, 71 Frankland Road, Hopkinton, MA 01748, USA;

    rnDepartment of Environmental Health, Harvard School of Public Health, 665 Huntington Avenue, Boston, MA 02139, USA;

    rnDepartment of Industrial Engineering, North Carolina State University, 400 Daniels Hall, Raleigh, NC 27695, 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

    lifting simulation; manual materials handling; posture matching; video coding;

    机译:提升模拟人工物料搬运;姿势匹配;视频编码;

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