基于树莓派处理器的i-Gloves静音社区和家庭自动化系统

Priya.M Sathya, P. Velrajkumar, P. Lavanya, L. Ramesh, C. Senthilpari
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引用次数: 1

摘要

交流在分享我们的想法和让别人理解我们的观点方面起着重要的作用。但是聋哑人面临的主要困难是语言和听力疾病。哑巴用手语来传达他们的想法,但大多数人不知道手语,这使得他们更难以分享他们的想法。这项研究帮助聋哑人毫无困难地传达他们的想法。这项研究的目的是开发一种经济有效的系统来帮助哑巴。在这个项目中,手语被转换成文本和语音机制。使用弯曲传感器分析手语手势,然后将其转换为文本和语音。使用扬声器显示输出。数据处理将使用处理器完成。手势识别将遵循霍尔效应的原理。该系统帮助聋哑人在各自的载体中获得成长的机会,并扩展到家庭自动化系统中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Raspberry Pi Processor-based i-Gloves for Mute Community and Home Automation System
Communications plays the major role for sharing our thoughts and make others to understand our point of view. But the major difficulty faced by the deaf and dumb people is speaking and hearing illness. Dumb people use sign language to convey their thoughts but most of the people aren't know about the sign language which make them more difficult in sharing their thoughts. This research helps the deaf and dumb people to convey their thoughts without any difficulties. The aim of the research is to develop a cost efficient system to help the dumb people. In this project the sign language is converted into a text and voice over mechanism. The sign language gesture is analyzed using the flex sensor and then it gets converted into a text and voice. The output is displayed using the speaker. The data processing will be done using the processor. The gesture recognition will follow the principle of Hall Effect. This system helps the deaf and dumb people to get a chance to grow in their respective carrier and extended to home automation system.
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