基于足底压力图像的足型识别算法  

Foot-type recognition algorithm based on plantar pressure images

作　　者：鲍文霞[1] 詹东歌 王年[1] 杨先军[2] 丁呈彪[3] Bao Wenxia;Zhan Dongge;Wang Nian;Yang Xianjun;Ding Chengbiao(School of Electronic Information Engineering,Anhui University,Hefei 230601,Anhui Province,China;Hefei Institutes of Physical Science,Chinese Academy of Sciences,Hefei 230031,Anhui Province,China;Department of Rehabilitation Medicine,The Second Hospital of Anhui Medical University,Hefei 230601,Anhui Province,China)

机构地区：[1]安徽大学电子信息工程学院,安徽省合肥市230601 [2]中国科学院合肥物质科学研究院,安徽省合肥市230031 [3]安徽医科大学第二附属医院康复医学科,安徽省合肥市230601

出　　处：《中国组织工程研究》2023年第4期527-533,共7页Chinese Journal of Tissue Engineering Research

基　　金：国家重点研发计划资助项目(2020YFF0303803),项目负责人:鲍文霞。

摘　　要：背景:足弓在人体活动中起着支撑和缓冲的作用,足弓异常会引起运动障碍和下肢疼痛。准确识别病态足型是做出相应的预防、护理矫正措施的前提。目的:提取常用的四大足型特征,并设计足弓中断特征,联合梯度提升决策树分类器,验证足型识别的准确率。方法:采集了45人的1710幅足底压力图像,包括高弓足、扁平足和正常足3种足型。分别提取足底压力图像的足弓指数、脚印系数、足弓宽度以及比值系数等不同特征,同时设计了足弓中断特征,并利用梯度提升决策树(GBDT)算法实现对足底压力图像的不同足型进行识别。结果与结论:在所构建的45人的1710幅足底压力图像数据集上,该文章算法的足型平均识别准确率达到了96.43%,高于目前基于足弓指数、脚印系数、足弓宽度以及比值系数等常用的足型判断方法。BACKGROUND:The arch of the foot plays a supporting and cushioning role in people’s daily physical activities.The abnormal arch of the foot can cause movement disorders and lower limb pain.It is the premise of making the corresponding prevention and nursing corrective measures to accurately identify the pathological foot type.OBJECTIVE:The accuracy of foot recognition can be improved effectively by extracting common features of quadrupedal foot and designing foot interruption feature combined with gradient boosted decision tree classifier.METHODS:Totally 1710 plantar pressure images of 45 people were collected,including high-arch,flat and normal foot.Arch index,footprint index,arch width,and ratio index of plantar pressure images were extracted respectively.At the same time,the foot interruption feature was designed,and the gradient boosted decision tree algorithm was used to recognize different foot types of plantar pressure images.RESULTS AND CONCLUSION:On the constructed data set of 1710 plantar pressure images of 45 people,the average recognition accuracy of the proposed algorithm reached 96.43%,which was higher than the current commonly used methods based on arch index,footprint index,arch width,and ratio index.

关 键 词：足型识别 足弓 高弓足 扁平足 足型特征 GBDT 

分 类 号：R874[医药卫生—运动医学] R496[医药卫生—临床医学] R318