期刊文献+

基于足底压力图像的足型识别算法 被引量:1

Foot-type recognition algorithm based on plantar pressure images
下载PDF
导出
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.
作者 鲍文霞 詹东歌 王年 杨先军 丁呈彪 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)
出处 《中国组织工程研究》 CAS 北大核心 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。
关键词 足型识别 足弓 高弓足 扁平足 足型特征 GBDT foot-type recognition foot-arch high-arch flat foot foot type features gradient boosted decision tree
  • 相关文献

参考文献20

二级参考文献103

共引文献97

同被引文献12

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部