体型分析在观测服装号型适应性上的应用

doi:10.13475/j.fzxb.20151005006

Abstract

Abstract:

Considering the situation that effective observation of clothing size in particular groups was absent at home and abroad, observation of clothing size adaptability was proposed based on the body shape analysis. By tracing 3-D data of the human body, principal component of clothing size classification variables were selected from the data cluster and put into the national clothing size standard for validation. According to clustering distribution results of multiple sets of k-means, the optimum K value was selected combining with verified clothing size coverage and variation relationship while the value and distribution of clustering center were observed so as to describe the sample clothing size adaptability. It is demonstrated that the differences between subjects have a direct effect on the selection of size classification variables so that this method can successfully get access to the body shape development trend of subjects, clothing size coverage and variation adjustment scheme as well as the corresponding relationship of size and “shape” so as to improve the accuracy of clothing market research and production plan.

Key words: body shape analysis, clothing size, adaptability, K-means clustering

References

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Application of body shape analysis in observation of clothing size adaptability

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