基于手势识别的无声扬声器通信系统

N. Sriram, M. Nithiyanandham
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引用次数: 23

摘要

本文提出了一种将聋哑人使用的手语转化为语音的交流系统。它是基于新颖的手势识别技术实现的。该解决方案由硬件模块和软件应用程序组成。硬件模块-手势识别是在传感器手套的帮助下完成的,该手套由5个加速度传感器、一个微控制器和蓝牙芯片组成,这些传感器基于对美国手语(ASL)手势的分析,最好放置在手指上。讨论了手套的设计和考虑相对于重力的轴向及其相应的电压电平解码手势的概念。在软件部分-一个名为说话手势的android应用程序已经开发。它通过蓝牙接收数据(字母/单词),将它们转换成文本并大声说出来。对语音合成的整个过程进行了测试,并给出了显示字母和单词的测试结果。
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A hand gesture recognition based communication system for silent speakers
In this paper, a communication system has been proposed which converts sign language used by dumb people into speech. It is done based on the novel hand gesture recognition technique. This solution approach consists of a hardware module and software application. In hardware module - The Gesture recognition is done with the help of sensor glove which consists of 5 accelerometer sensors, a microcontroller and Bluetooth chip which are best positioned in fingers, based on the analysis of American Sign Language (ASL) signs. The design of glove and the concept of decoding gestures by considering the axis orientation with respect to gravity and their corresponding voltage levels are discussed. In Software part - an android application named Speaking gestures have been developed. It receives the data (alphabet/word) via Bluetooth, converts them into text and speaks it out. The entire process of speech synthesis has been tested and the test results displaying the alphabets and words have been shown.
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