Research on the method of children’s body shape recognition based on big data technology of dressed human body

Abstract

Abstract In this paper, a large number of children samples are collected to establish a database with detailed measurement index information. The data are analyzed and the figure of children are divided into three types. On the basis, the Naive Bayesian (NB) algorithm is applied to the study of figure discrimination, and the discriminant model is established. The discrimination of children figure is realized. At the same time, based on big data theory, the similar body of the test sample in the database is found through querying based on minimum difference algorithm. The unknown detailed measurement data of the test sample can be replaced by the similar body, to provide data support for the relevant application areas or dressed the human body that need to obtain detailed measurement information about the children.