Analysis of Young Women's Lower Limb Shape Based on 3D Body Measurement

摘要

In order to provide references for people to design and purchase bottoms, this paper takes area 223 female college students in Hangzhou as the research object. We collect the human data by non-contact 3D body scanner and manual measurement. We also use SPSS 18.0 software to analysis the factor of the data, extracting 4 factors to identify the feature of young female lower body. Then make cluster analysis of the 4 factors and classify the lower body into 5 categories. Combine with the waist full to complete size and type classification under GB/T 1335.2-2008.