A high speed algorithm for identifying hand gestures for an ATM input system for the blind

S. R. Rupanagudi, B. Ranjani, Varsha G. Bhat, K. Surabhi, P. R. Reshma, G. Shruthi, K. P. Sarayu, R. Sangeetha, B. Rao, S. Vasanti
{"title":"A high speed algorithm for identifying hand gestures for an ATM input system for the blind","authors":"S. R. Rupanagudi, B. Ranjani, Varsha G. Bhat, K. Surabhi, P. R. Reshma, G. Shruthi, K. P. Sarayu, R. Sangeetha, B. Rao, S. Vasanti","doi":"10.1109/IBSS.2015.7456642","DOIUrl":null,"url":null,"abstract":"With the evolution in science and technology, a lot has been done over the past few years to make the lives of the differently-abled more comfortable and easy. This paper concentrates on a novel methodology to ease the use of an ATM machine for the blind. It describes an approach wherein both the username and PIN for the ATM machine can be input using British Sign Language. A cost effective setup and also a high speed algorithm for hand gesture recognition has been elaborated. In comparison with previous algorithms, the method explained in this paper is 1.65 times faster thus proving its efficacy and efficiency. All algorithms were first designed and developed in MATLAB 2011b and then later deployed as software using the Java programming language.","PeriodicalId":317804,"journal":{"name":"2015 IEEE Bombay Section Symposium (IBSS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Bombay Section Symposium (IBSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IBSS.2015.7456642","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 21

Abstract

With the evolution in science and technology, a lot has been done over the past few years to make the lives of the differently-abled more comfortable and easy. This paper concentrates on a novel methodology to ease the use of an ATM machine for the blind. It describes an approach wherein both the username and PIN for the ATM machine can be input using British Sign Language. A cost effective setup and also a high speed algorithm for hand gesture recognition has been elaborated. In comparison with previous algorithms, the method explained in this paper is 1.65 times faster thus proving its efficacy and efficiency. All algorithms were first designed and developed in MATLAB 2011b and then later deployed as software using the Java programming language.
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
一种用于识别盲人ATM输入系统手势的高速算法
随着科学技术的发展,在过去的几年里,人们做了很多事情来让残疾人士的生活更加舒适和轻松。本文主要研究一种新的方法,以方便盲人使用自动取款机。它描述了一种方法,其中自动取款机的用户名和密码都可以使用英国手语输入。阐述了一种具有成本效益的设置和一种高速的手势识别算法。与以往的算法相比,本文方法的速度提高了1.65倍,证明了它的有效性和高效性。所有算法首先在MATLAB 2011b中进行设计和开发,然后使用Java编程语言作为软件部署。
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
Designing an accelerated hardware architecture for polynomial matrix multiplications Detection of heart sounds S1 and S2 using optimized S-transform and back — Propagation Algorithm Physical layer security using stream cipher for LTE Design and simulation of Koch Snowflake fractal antenna for GPS, WiMAX and radar application CAMbot: Customer assistance mobile manipulator robot
×
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