2020年中国人脚型大数据采集分析

通过双驰与中科院团队共同研发出脚型足压步态扫描仪，扫描并实时创建用户三维足部模型，解析54项三维点云与生物力学数据，包括足弓、足底压力、足型外观尺寸等多项数据，为用户提供足部健康分析及推荐合脚鞋款。

Co-developed by the Shuangchi team and the Chinese Academy of Sciences (CAS), the foot shape, plantar pressure and gait scanner conducts user scanning and real-time generation of 3D foot models. It analyzes 54 sets of 3D point cloud and biomechanical data, including foot arch parameters, plantar pressure distribution, foot appearance dimensions and other relevant metrics, to provide users with foot health analysis and recommendations for properly fitting footwear.

搜集汇总

背景与挑战

背景概述

该数据集基于2020年中国人群的脚型大数据，通过先进的脚型足压步态扫描仪采集，涵盖三维点云和生物力学数据，如足弓、足底压力和外观尺寸等多维度参数。其特点在于利用高科技手段解析54项详细指标，旨在为足部健康评估和个性化鞋款推荐提供科学依据。