Unscented Kalman Filter based finger tracking utilising magnetoresistive sensors

Luke P. Simmons, J. Welsh
{"title":"Unscented Kalman Filter based finger tracking utilising magnetoresistive sensors","authors":"Luke P. Simmons, J. Welsh","doi":"10.1109/ACC.2015.7172139","DOIUrl":null,"url":null,"abstract":"In this paper we utilise magnetoresistive sensors and an Unscented Kalman Filter to develop a finger tracking system for physical therapy and human-machine interaction. The aim of this finger tracking system is to provide a light weight apparatus with a prolonged operational period. The finger tracking algorithm utilises two-dimensional measurements of each joint relative to a magnetic field reference point to obtain an accurate model of the finger position as opposed to other light weight systems that provide information in only one dimension. The nonlinear interaction between joint movements and sensor measurement requires a nonlinear filtering technique, as such, a Kalman filter that utilises an unscented transformation was utilised.","PeriodicalId":223665,"journal":{"name":"2015 American Control Conference (ACC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 American Control Conference (ACC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACC.2015.7172139","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

In this paper we utilise magnetoresistive sensors and an Unscented Kalman Filter to develop a finger tracking system for physical therapy and human-machine interaction. The aim of this finger tracking system is to provide a light weight apparatus with a prolonged operational period. The finger tracking algorithm utilises two-dimensional measurements of each joint relative to a magnetic field reference point to obtain an accurate model of the finger position as opposed to other light weight systems that provide information in only one dimension. The nonlinear interaction between joint movements and sensor measurement requires a nonlinear filtering technique, as such, a Kalman filter that utilises an unscented transformation was utilised.
基于无气味卡尔曼滤波的手指跟踪利用磁阻传感器
在本文中,我们利用磁阻传感器和无气味卡尔曼滤波器来开发一个用于物理治疗和人机交互的手指跟踪系统。这种手指跟踪系统的目的是提供一种重量轻、操作时间长的设备。手指跟踪算法利用相对于磁场参考点的每个关节的二维测量来获得手指位置的精确模型,而不是其他轻量级系统只提供一维信息。关节运动和传感器测量之间的非线性相互作用需要非线性滤波技术,因此,利用无气味变换的卡尔曼滤波器被利用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信