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.