全双工智能系统聋哑人和正常人

Muhammad Imran Saleem, P. Otero, Shaheena Noor, R. Aftab
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引用次数: 2

摘要

对发生在你周围的事件表达自己的能力是我们拥有的无价之宝之一。正常人都有看、听、说和表达自己的能力,但很少有人不能交流,不能表达自己。此外,他们也很难理解正常人对他们说的话,普通人也很难和他们一起上下班。因此,为了弥合这两者之间的差距,我们创造了一个全双工智能通信系统,减少了正常人和无法沟通的人之间的沟通及其差距。我们的系统侧重于聋哑人(D&D)。使用我们的方法,我们获得了95%和85.5%的准确度和精密度。这篇论文有两个主要贡献。开始时,使用Leap Motion Device进行手势识别。这将跟踪用于培训巴基斯坦手语(PSL)的数据。在第二部分中,当正常人试图与他们交流时,他们可以不学习手语。我们已经通过使用我们的Android应用程序实现了这一点,该应用程序将语音转换为文本语言,这样被剥夺的人很容易理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Full Duplex Smart System for Deaf & Dumb and Normal People
Ability to express yourself to the events that occurs in your surroundings is one of the priceless gift that we have. Normal human being have the ability to see, listen, talk and express themselves but there are few people who are unable to communicate and are not able to express themselves. Moreover it is also difficult for them to understand what normal people are saying to them and for normal people too to commute with them. Therefore to bridge the gap between these two we have created a full duplex smart communication system that less the communication and its gap between the normal people and the people who are unable to communicate. Our system focuses on Deaf & Dumb (D&D) people. Using our approach we have achieved an accuracy and precision of 95% and 85.5%. This paper has two major contributions. At start, uses the Leap Motion Device for hand gesture recognition. This will track data that will be used for training Pakistani Sign Language (PSL). In the second part, when normal people is trying to communicate with them, they can do it without learning a sign language. We have implemented this by using our Android Application that converts speech to text language that can be understood by the deprived one easily.
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