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Estimations of human hip joint center locations in automotive seats: A comparison between experimental data and a prediction model.

机译:汽车座椅中人类髋关节中心位置的估计:实验数据与预测模型之间的比较。

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摘要

The present study compares experimental data to a prediction model for human hip joint center (HJC) locations in automotive seats. In phase I of the three phase study, seat pan stiffnesses for six different seats were tested using an industry standard manikin and video based motion measurement techniques. For phase II of the study, three of the six seats tested in phase I were selected to represent a range of seat pan stiffnesses varying from soft to stiff. Fifteen male subjects from three anthropometric categories were seated in all three seats and their positional data were recorded. These data were then used to compute the location their HJC locations. In phase III, a prediction of the HJC locations for all test cases in the same three seats was obtained using mathematical modeling techniques developed in previous studies by Radcliffe [6], and Bush and Macklem [3]. Finally the results between the predicted and measured HJC locations were compared. For this comparison two different approaches were used for the computation of the HJC producing slightly different locations. The prediction model successfully predicted the HJC deflections of two of the three subject groups. For the third group a prediction curve was not necessary as it was located using the industry standard manikin.
机译:本研究将实验数据与汽车座椅中人类髋关节中心(HJC)位置的预测模型进行了比较。在这个三相研究的第一阶段,使用行业标准的人体模型和基于视频的运动测量技术对六个不同座椅的座板刚度进行了测试。对于研究的第二阶段,在第一阶段中测试的六个座椅中的三个被选为代表从软到硬变化的座板刚度范围。来自三个人体测量学类别的15名男性受试者坐在这三个座位上,并记录了他们的位置数据。这些数据然后用于计算其HJC位置。在第三阶段中,使用Radcliffe [6]和Bush and Macklem [3]在先前研究中开发的数学建模技术,获得了在相同三个座位上所有测试用例的HJC位置的预测。最后,比较了预测的和测量的HJC位置之间的结果。为了进行比较,使用了两种不同的方法来计算HJC,从而产生略有不同的位置。该预测模型成功地预测了三个受试者组中两个受试者的HJC偏转。对于第三组,不需要预测曲线,因为它是使用行业标准人体模型定位的。

著录项

  • 作者

    Ekbote, Vaibhav A.;

  • 作者单位

    Michigan State University.;

  • 授予单位 Michigan State University.;
  • 学科 Engineering Mechanical.; Engineering Automotive.
  • 学位 M.S.
  • 年度 2004
  • 页码 102 p.
  • 总页数 102
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 机械、仪表工业;自动化技术及设备;
  • 关键词

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