Facial Muscular Human-Computer Interface at a Motor Unit Level

IF 0.5 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Advances in Data Science and Adaptive Analysis Pub Date : 2019-10-14 DOI:10.1142/s2424922x19500086
Carlos Galvão Pinheiro Júnior, Marcus Fraga Vieira, C. Amorim, G. Bourhis, A. Andrade
{"title":"Facial Muscular Human-Computer Interface at a Motor Unit Level","authors":"Carlos Galvão Pinheiro Júnior, Marcus Fraga Vieira, C. Amorim, G. Bourhis, A. Andrade","doi":"10.1142/s2424922x19500086","DOIUrl":null,"url":null,"abstract":"Assistive technology allows motor-impaired people to overcome limitations. Several myoelectric interfaces have been developed, however, there is no reported study employing information at a motor unit (MU) level for controlling purposes. Thus, we developed a facial myoelectric interface operating at the level of MU for controlling a computer screen cursor. Data were collected from 11 able-bodied and 1 tetraplegic subjects. Different from traditional approaches, there was no significant difference ([Formula: see text]) in learning with respect to the level of difficulty, occurring evenly and faster. Information at MU level opens new possibilities for the development of fine control myoelectric interfaces.","PeriodicalId":47145,"journal":{"name":"Advances in Data Science and Adaptive Analysis","volume":"67 1","pages":"1950008:1-1950008:23"},"PeriodicalIF":0.5000,"publicationDate":"2019-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Data Science and Adaptive Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/s2424922x19500086","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0

Abstract

Assistive technology allows motor-impaired people to overcome limitations. Several myoelectric interfaces have been developed, however, there is no reported study employing information at a motor unit (MU) level for controlling purposes. Thus, we developed a facial myoelectric interface operating at the level of MU for controlling a computer screen cursor. Data were collected from 11 able-bodied and 1 tetraplegic subjects. Different from traditional approaches, there was no significant difference ([Formula: see text]) in learning with respect to the level of difficulty, occurring evenly and faster. Information at MU level opens new possibilities for the development of fine control myoelectric interfaces.
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
运动单元水平的面部肌肉人机界面
辅助技术使运动障碍的人能够克服限制。一些肌电接口已经被开发出来,然而,还没有报道研究利用运动单元(MU)水平的信息来控制目的。因此,我们开发了一种在MU水平上操作的面部肌电接口,用于控制计算机屏幕光标。数据来自11名健全者和1名四肢瘫痪者。与传统方法不同,在学习难度方面没有显著差异([公式:见文]),发生均匀且速度更快。MU水平的信息为精细控制肌电接口的发展开辟了新的可能性。
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
Advances in Data Science and Adaptive Analysis
Advances in Data Science and Adaptive Analysis MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
自引率
0.00%
发文量
13
期刊最新文献
Assessment Of Mars Analog Habitation Plans Using Network Analysis Methodologies A Novel Genetic-Inspired Binary Firefly Algorithm for Feature Selection in the Prediction of Cervical Cancer Big Data Analytics for Predictive System Maintenance Using Machine Learning Models Data Mining for Estimating the Impact of Physical Activity Levels on the Health-Related Well-Being A Novel Autoencoder Deep Architecture for Detecting the Outlier in Heterogeneous Data Sets
×
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