Low cost tangible glove for translating sign gestures to speech and text in Hindi language

S. Devi, S. Deb
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引用次数: 17

Abstract

Vocal Communication is a way to convey our thoughts, messages and information. However, each of us is not gifted to be able to share our thoughts in verbal mode with others due to some physical disabilities. The deaf and the mute are the one who face extreme difficulty in conveying their messages to others. Normally deaf and the mute people use sign language for communication but it turns out to be a difficult when others are not able to understand the sign language. A number of devices are available that converts the human gestures to English speech and text but no such device is available for Hindi Language. Hindi is the most spoken and National language in India and is widely used in the country. Keeping a pace with advent of technology there is a desperate need of cost effective devices which could convert the sign language into speech/text in Hindi to establish an independent communication and movement for deaf and mute people in every sphere of society. In this paper, we propose a tangible interface using a customized glove equipped with flex sensors. These sensors are placed across the length of fingers and the thumb. Hand gestures can be captured by the digital glove which are then converted to speech/text so that it could easily be understood by the common people. The experiments conducted with the design prototype have shown significant interaction improvements among the society and deaf-mute people. The experiments on modeling and improving the prototype is going on to improvise the interaction specially for mobile devices.
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低成本的有形手套,用于将手势翻译成印地语的语音和文本
声音交流是一种传递思想、信息和信息的方式。然而,由于身体上的残疾,我们每个人都不能用语言的方式与他人分享我们的想法。聋哑人在向他人传达信息时面临极大的困难。聋哑人通常使用手语进行交流,但当其他人不能理解手语时,这就变得很困难了。有许多设备可以将人类手势转换为英语语音和文本,但没有这样的设备可用于印地语。印地语是印度最常用的国家语言,在全国广泛使用。随着技术的发展,迫切需要一种经济有效的设备,可以将手语转换为印地语的语音/文本,为社会各个领域的聋哑人建立独立的交流和运动。在本文中,我们提出了一个有形的接口,使用定制手套配备柔性传感器。这些传感器被放置在手指和拇指的长度上。手势可以被数字手套捕捉,然后转换成语音/文本,这样普通人就能很容易地理解。利用设计原型进行的实验表明,社会与聋哑人之间的互动有了显著的改善。针对移动设备的交互特性,正在进行原型的建模和改进实验。
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