一种用于识别盲人ATM输入系统手势的高速算法

S. R. Rupanagudi, B. Ranjani, Varsha G. Bhat, K. Surabhi, P. R. Reshma, G. Shruthi, K. P. Sarayu, R. Sangeetha, B. Rao, S. Vasanti
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引用次数: 21

摘要

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