Wireless Glove for Hand Gesture Acknowledgment: Sign Language to Discourse Change Framework in Territorial Dialect

Shahrukh Javed
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引用次数: 4

Abstract

Generally deaf-dumb people use sign language for communication, but they find it difficult to communicate in a society where most of the people do not understand sign language. Due to which communications between deaf-mute and a normal person have always been a challenging task. The idea proposed in this paper is a digital wireless glove which can convert sign language to text and speech output. The glove is embedded with flex sensors and a 9DOF inertial measurement unit (IMU) to recognize the gesture. A 9-degree of freedom inertial measurement unit (IMU) and flex sensors are used to track the orientation of fingers and motion of hand in three dimensional spaces which senses the gestures of a person in the form of bend of fingers and tilt of the hand fist. This system was tried for its practicality in changing over gesture based communication and gives the continuous discourse yield in local dialect and additionally shows the text on GLCD module. The text show being in English, the voice yield of the glove will be in provincial dialect (here Kannada). So this glove goes about as a communicator which in part encourages them to get their necessities and an interpreter giving greater adaptability in correspondence. In spite of the fact that the glove is planned for gesture based communication to discourse transformation, it is a multipurpose glove and discovers its applications in gaming, mechanical autonomy and therapeutic field.In this paper, we propose an approach to avoid the gap between customer and software robotics development. We define a EUD (End-User Development) environment based on the visual programming environment Scratch, which has already proven in children learning computer science. We explain the interests of the environment and show two examples based on the Lego Mindstorms and on the Robosoft Kompai robot.
用于手势识别的无线手套:地域方言中手语到话语变化框架
一般来说,聋哑人使用手语进行交流,但在一个大多数人都不懂手语的社会里,他们发现沟通很困难。因此,聋哑人与正常人之间的交流一直是一项具有挑战性的任务。本文提出了一种可以将手语转换为文本和语音输出的数字无线手套。这款手套内嵌了弯曲传感器和一个9DOF惯性测量单元(IMU)来识别手势。使用9自由度惯性测量单元(IMU)和弯曲传感器在三维空间中跟踪手指的方向和手的运动,以手指弯曲和手握拳倾斜的形式感知人的手势。该系统在基于手势转换的交流中具有实用性,并在GLCD模块上给出了本地方言的连续语篇产出。文本显示为英语,手套的语音输出将是省方言(这里是卡纳达语)。所以这只手套就像一个交流者,在某种程度上鼓励他们得到他们的必需品,一个翻译,在通信中提供更大的适应性。尽管该手套是为基于手势的交流到话语转换而设计的,但它是一种多用途手套,并在游戏,机械自主和治疗领域发现了它的应用。在本文中,我们提出了一种方法来避免客户和软件机器人开发之间的差距。我们定义了一个基于可视化编程环境Scratch的EUD(终端用户开发)环境,它已经在儿童学习计算机科学中得到了证明。我们解释了环境的利益,并展示了两个基于乐高头脑风暴和Robosoft Kompai机器人的例子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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