基于膝关节角度运动和足底压力的步行步态测量与分析

S. Ngamsuriyaroj, W. Chira-Adisai, Suppakorn Somnuk, Chayanan Leksunthorn, Kamonthip Saiphim
{"title":"基于膝关节角度运动和足底压力的步行步态测量与分析","authors":"S. Ngamsuriyaroj, W. Chira-Adisai, Suppakorn Somnuk, Chayanan Leksunthorn, Kamonthip Saiphim","doi":"10.1109/JCSSE.2018.8457175","DOIUrl":null,"url":null,"abstract":"The study on human gait has gained lots of attentions for years since there are many applications including medical rehabilitation for patients having walking disorders. However, such study requires an equipment to measure the movement of body parts accurately. This work aims to build an equipment to measure, collect, visualize and analyze the knee angles and foot plantar pressures of a person who walks normally as well as of a patient who walks with some disorders. The equipment is a wearable device consisting of the Inertial Measurement Unit (IMU) installed on the thigh and shank for gathering angles of knee movements, the Force-Sensitive Resistor (FSR) for gathering foot pressures from plantar during a walk, the Arduino Uno units for collecting the gait data from both legs, and a NodeMCU for a controller. The collected data will be stored into a database, and the outputs are visualized via a web user interface. The statistical analysis of the walking are also displayed so that the history of walking can be used to analyze changes or tell some walking patterns of a person.","PeriodicalId":338973,"journal":{"name":"2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Walking Gait Measurement and Analysis via Knee Angle Movement and Foot Plantar Pressures\",\"authors\":\"S. Ngamsuriyaroj, W. Chira-Adisai, Suppakorn Somnuk, Chayanan Leksunthorn, Kamonthip Saiphim\",\"doi\":\"10.1109/JCSSE.2018.8457175\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The study on human gait has gained lots of attentions for years since there are many applications including medical rehabilitation for patients having walking disorders. However, such study requires an equipment to measure the movement of body parts accurately. This work aims to build an equipment to measure, collect, visualize and analyze the knee angles and foot plantar pressures of a person who walks normally as well as of a patient who walks with some disorders. The equipment is a wearable device consisting of the Inertial Measurement Unit (IMU) installed on the thigh and shank for gathering angles of knee movements, the Force-Sensitive Resistor (FSR) for gathering foot pressures from plantar during a walk, the Arduino Uno units for collecting the gait data from both legs, and a NodeMCU for a controller. The collected data will be stored into a database, and the outputs are visualized via a web user interface. The statistical analysis of the walking are also displayed so that the history of walking can be used to analyze changes or tell some walking patterns of a person.\",\"PeriodicalId\":338973,\"journal\":{\"name\":\"2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/JCSSE.2018.8457175\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JCSSE.2018.8457175","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

摘要

由于对行走障碍患者的医学康复等诸多应用,对人体步态的研究多年来备受关注。然而,这样的研究需要一种设备来精确测量身体部位的运动。这项工作的目的是建立一种设备来测量、收集、可视化和分析正常走路的人和走路有一些障碍的病人的膝盖角度和足底压力。该设备是一种可穿戴设备,包括安装在大腿和小腿上的惯性测量单元(IMU),用于收集膝盖运动的角度,力敏电阻(FSR)用于收集步行时足底的足压力,Arduino Uno单元用于收集双腿的步态数据,以及用于控制器的NodeMCU。收集到的数据将存储到数据库中,并通过web用户界面将输出可视化。步行的统计分析也被显示出来,这样步行的历史可以用来分析一个人的变化或告诉一些步行模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Walking Gait Measurement and Analysis via Knee Angle Movement and Foot Plantar Pressures
The study on human gait has gained lots of attentions for years since there are many applications including medical rehabilitation for patients having walking disorders. However, such study requires an equipment to measure the movement of body parts accurately. This work aims to build an equipment to measure, collect, visualize and analyze the knee angles and foot plantar pressures of a person who walks normally as well as of a patient who walks with some disorders. The equipment is a wearable device consisting of the Inertial Measurement Unit (IMU) installed on the thigh and shank for gathering angles of knee movements, the Force-Sensitive Resistor (FSR) for gathering foot pressures from plantar during a walk, the Arduino Uno units for collecting the gait data from both legs, and a NodeMCU for a controller. The collected data will be stored into a database, and the outputs are visualized via a web user interface. The statistical analysis of the walking are also displayed so that the history of walking can be used to analyze changes or tell some walking patterns of a person.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Android Forensic and Security Assessment for Hospital and Stock-and-Trade Applications in Thailand Traffic State Prediction Using Convolutional Neural Network Development of Low-Cost in-the-Ear EEG Prototype JCSSE 2018 Title Page JCSSE 2018 Session Chairs
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1