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

机译:低成本的有形手套,用于将手势手势翻译成印地语的语音和文本

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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.
机译:人声交流是传达我们的思想,信息和信息的一种方式。但是,由于身体上的某些障碍,我们每个人都不具备以言语方式与他人分享思想的能力。聋哑人和静音人在向他人传达信息时面临极大的困难。通常,聋哑人和沉默寡言的人使用手语进行交流,但是当其他人无法理解手语时,这将变得很困难。有许多设备可以将人的手势转换为英语语音和文本,但没有此类设备可用于印地语。印地语是印度使用最多的语言和国家语言,在该国广泛使用。随着技术的发展,迫切需要经济高效的设备,这些设备可以将手语转换成印地语的语音/文本,从而为社会各个领域的聋哑人提供独立的交流和运动。在本文中,我们提出了一种使用配备柔性传感器的定制手套的有形界面。这些传感器放置在手指和拇指的整个长度上。可以通过数字手套捕获手势,然后将其转换为语音/文本,以便普通人容易理解。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着改善。正在进行建模和改进原型的实验,以改进即席移动设备专用的交互。

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