基于足部三维模型和运动力学行为相融合的肥胖儿童“四维鞋码”系统研究

长期穿着不合脚的鞋子是造成肥胖儿童足部畸形、足底压力增大、步态异常等疾病的重要原因。现有的二维平面鞋码系统编制方法无法满足肥胖儿童专用鞋设计的需求，针对这一问题，本项目提出全新的“四维鞋码”概念， 采用先进的三维扫描技术及足底压力测试技术大量采集中国肥胖儿童足型数据，建立肥胖儿童足型三维模型。利用数据挖掘等科学手段对数据进行建模分析，利用主成分分析法对肥胖儿童足型多指标提取主成分变量，并运用SVM机器学习方法训练出肥胖儿童足型距离测度，进而采用K-means聚类分析法将肥胖儿童足型分类，获得科学合理的分类标准，并结合肥胖儿童足底压力的动态模型，构建肥胖儿童足型数据分析方法体系，进而构建肥胖儿童“四维鞋码”系统。为肥胖儿童脚型数据分析及鞋码分类提供科学合理的数据支持和理论依据。该研究是鞋码系统及足部生物力学领域的一次创新，并从其特定角度丰富足部生物力学研究的理论和方法。

Wearing the improper shoes for long time is the main reason to cause the deformation of foot, higher planter pressure and abnormity of gait for obese children. But the “two dimensional shoe sizing” system could not offer enough information for special shoes designed for obese children. The purpose of this study is to establish the new “four dimensional shoe sizing” system for obese children by using the methods of three dimensional scan technology and platform system to collect foot data; data mining will be first used for modeling analysis of the foot structure data. The methods of principle component analysis will be used to extract the main variables and then the SVM machine learning method will be applied to get the distance measure of foot type for obese children. Furthermore, the foot type of obese children will be divided by using K-means clustering methodology to get the scientific methods for classification and combined with the data of plantar pressures in order to set up an analyzing system for the data of foot type. As a result, scientific and proper data as well as theoretical basis will be provided for the analysis of obese children’s foot data and the classification of foot type, finally the “four dimensional shoe sizing” system is established. This research is an innovation in shoe sizing system and foot biomechanics field and the theory and methodology of the research for foot biomechanics and shoe sizing system will be enriched from a specific angle at the same time.