基于三维扫描的重要人体尺寸预测——以胸围为例

Prediction on Important Data of Body Size Based on 3D Scanning:Taking Chest Circumference as an Example

为方便获取难以测量的重要人体尺寸,以青年女性为研究对象,以胸围为例利用三维扫描下的人体数据进行人体尺寸的预测分析。基于三维扫描下的人体数据,选取与胸围相关且易于测量的厚度和宽度尺寸,利用SPSS统计分析软件进行线性回归分析,建立预测胸围的回归模型,再筛选并提取出拟合度高且准确率在80%以上的回归模型,最后进行残差以及实例验证分析。结果显示,胸厚与胸距预测胸围、胸厚与肩宽预测胸围的回归模型预测误差在±2 cm以内。

In order to obtain the important human body size which is difficult to measure,young women were taken as the research objects,and the chest circumference was taken as an example to predict and analyze the human body size by using the human body data under 3D scanning.Based on the human body data under 3D scanning,the thickness and width,which are related to chest circumference and easy to measure,were selected.The regression model for predicting chest circumference was established by linear regression analysis using SPSS statistical analysis software,then the regression model with high fitting degree and accuracy over 80% was screened and extracted.Finally,the residual error and example verification analysis were carried out.The results show that the prediction error of chest circumference measured by chest thickness and chest distance and by chest thickness and shoulder width is within ±2 cm.