| Analysis of Alignment Influence on 3-D Anthropometric Statistics |
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| 作者姓名： | 蔡秀文 李志忠 CHANG Chien-Chi DEMPSEY Patrick |
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| 作者单位： | [1]Department of Industrial Engineering, Tsinghua University, Beijing 100084, China [2]Liberty Mutual Research Institute for Safety, 71 Frankland Road, Hopkinton, MA 01748, USA |
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| 基金项目： | Supported by the Liberty Mutual Research Institute for Safety, USA （No. CSR03-03） |
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| 摘 要： | Three-dimensional （3-D） surface anthropometry can provide much more useful information for many applications such as ergonomic product design than traditional individual body dimension measurements. However, the traditional definition of the percentile calculation is designed only for 1-D anthropometric data estimates. The same approach cannot be applied directly to 3-D anthropometric statistics otherwise it could lead to misinterpretations. In this paper, the influence of alignment references on 3-D anthropometric statistics is analyzed mathematically, which shows that different alignment reference points （for example, landmarks） for translation alignment could result in different object shapes if 3-D anthropometric data are processed for percentile values based on coordinates and that dimension percentile calculations based on coordinate statistics are incompatible with those traditionally based on individual dimensions.
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| 关 键 词： | 三维人体测量统计 测量方法 数据评估 误差分析 |
| 收稿时间： | 2004-03-24 |
| 修稿时间： | 2004-03-24 |
Analysis of Alignment Influence on 3-D Anthropometric Statistics |
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| Xiuwen Cai, &#x; &#x;, Zhizhong Li, ýþ, Chien-Chi Chang,Patrick Dempsey.Analysis of Alignment Influence on 3-D Anthropometric Statistics[J].Tsinghua Science and Technology,2005,10(5):623-626. |
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| Authors: | Xiuwen Cai &#x;&#x; Zhizhong Li ýþ Chien-Chi Chang Patrick Dempsey |
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| Institution: | Department of Industrial Engineering, Tsinghua University, Beijing 100084, China; Liberty Mutual Research Institute for Safety, 71 Frankland Road, Hopkinton, MA 01748, USA |
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| Abstract: | Three-dimensional (3-D) surface anthropometry can provide much more useful information for many applications such as ergonomic product design than traditional individual body dimension measurements. However, the traditional definition of the percentile calculation is designed only for 1-D anthropometric data estimates. The same approach cannot be applied directly to 3-D anthropometric statistics otherwise it could lead to misinterpretations. In this paper, the influence of alignment references on 3-D anthropometric statistics is analyzed mathematically, which shows that different alignment reference points (for example, landmarks) for translation alignment could result in different object shapes if 3-D anthropometric data are processed for percentile values based on coordinates and that dimension percentile calculations based on coordinate statistics are incompatible with those traditionally based on individual dimensions. |
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| Keywords: | three-dimensional (3-D) anthropometry alignment percentile |
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