Optical myography system for posture monitoring

Yu Tzu Wu, E. Fujiwara, C. Suzuki
{"title":"Optical myography system for posture monitoring","authors":"Yu Tzu Wu, E. Fujiwara, C. Suzuki","doi":"10.1109/ISCE.2016.7797358","DOIUrl":null,"url":null,"abstract":"An optical myography system for hand posture recognition by monitoring visible area variation due to posture changes is reported. The experimental setup consists of an ordinary camera, a homogeneous background and simple markers. Allied to its feasibility and low cost, the proposed technique has shown capability to distinguish five different postures that contracts the flexor muscles located at forearm anterior part in different degrees, being suitable for further applications in assistive technologies.","PeriodicalId":193736,"journal":{"name":"2016 IEEE International Symposium on Consumer Electronics (ISCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Symposium on Consumer Electronics (ISCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCE.2016.7797358","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

An optical myography system for hand posture recognition by monitoring visible area variation due to posture changes is reported. The experimental setup consists of an ordinary camera, a homogeneous background and simple markers. Allied to its feasibility and low cost, the proposed technique has shown capability to distinguish five different postures that contracts the flexor muscles located at forearm anterior part in different degrees, being suitable for further applications in assistive technologies.
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
用于姿势监测的光学肌图系统
本文报道了一种用于手部姿势识别的光学肌图系统,该系统通过监测由于姿势变化而引起的可见区域变化。实验装置由一个普通的相机、一个均匀的背景和简单的标记组成。结合其可行性和低成本,所提出的技术已经显示出能够区分五种不同程度收缩前臂前部屈肌的不同姿势,适合在辅助技术中进一步应用。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Closed-loop calibration of RGB LED consumer projectors Neural predictive models for Brazilian digital TV system based on the azimuthal orientation Comparative analysis of classification algorithms on tactile sensors Voice quality assessment in mobile devices considering different fading models Impact instrumentation for educational purposes
×
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