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基于柔性力敏传感器的左右脚动态识别方法

汪飞跃 姚志明 许胜强 魏凯 杨先军

传感技术学报Issue(7):964-971,8.
传感技术学报Issue(7):964-971,8.DOI:10.3969/j.issn.1004-1699.2015.07.004

基于柔性力敏传感器的左右脚动态识别方法

Dynamic Footprint Recognition Method Based on Flexible Force-Sensitive Sensor

汪飞跃 1姚志明 2许胜强 3魏凯 4杨先军5

作者信息

  • 1. 安徽大学电子信息工程学院,合肥230009
  • 2. 中国科学院合肥智能机械研究所安徽省仿生感知与先进机器人技术重点实验室,合肥230031
  • 3. 中国科学院合肥智能机械研究所安徽省仿生感知与先进机器人技术重点实验室,合肥230031
  • 4. 江苏省体育科学研究所,南京210033
  • 5. 北京体育大学,北京100084
  • 折叠

摘要

Abstract

Distinguishing the left and right footprint data accurately,rapidly and automatically by using the flexible force-sensitive sensor for acquiring the dynamic plantar pressure distribution data can greatly improve the visibility of data and the convenience of data analysis. Therefore,a novel method for footprints recognition based on the plan⁃tar pressure and the appearance shape features of the footprint is presented. The concrete implementation steps are as follows. Firstly,on account of the principle of the plantar kinetics,the connected component algorithm is applied to data clustering analysis,the coordinate and time range of the target footprint are obtained at the same time. Then we gain the complete plantar pressure data of each footprint and extract the appearance shape features of them. Fi⁃nally,footprint recognition is accomplished on the basis of the plantar pressure and the appearance shape features. The proposed method can be applied to many fields,such as gait analysis,clinical diagnosis and gait recognition. Experimental results of 108 samples in normal walking pattern show that the proposed method not only has a high recognition rate (94.5%),but also has strong robustness.

关键词

柔性力敏传感器/连通区域算法/轮廓特征/聚类分析/脚印识别

Key words

flexible force-sensitive sensor/connected component algorithm/shape features/data clustering analy-sis/footprint recognition

分类

信息技术与安全科学

引用本文复制引用

汪飞跃,姚志明,许胜强,魏凯,杨先军..基于柔性力敏传感器的左右脚动态识别方法[J].传感技术学报,2015,(7):964-971,8.

基金项目

安徽省科技攻关计划课题项目(1301042215,1501021042);国家科技支撑计划项目(2013BAH14F01) (1301042215,1501021042)

传感技术学报

OA北大核心CSCDCSTPCD

1004-1699

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