{"title":"Design of Smart e-Tongue for the physically challenged people","authors":"M. Delliraj, S. Vijayakumar","doi":"10.1109/ICRTIT.2013.6844221","DOIUrl":null,"url":null,"abstract":"Tongue and Ear plays a major role for speaking and hearing by normal person. But it is impossible to speak and hear by deaf and dumb people. But they normally speak using their sign action with others. It is easily understood by their community, but they fell difficult when they communicate with normal people because normal person can't able to understand their sign symbol. To tackle this situation we design a system which converts their sign symbol to text as well as voice output and normal person's voice to corresponding sign symbol for two way communication. This system has flex sensor and IMU (Inertial Measurement Unit) to recognize their sign symbol, speech synthesis chip for voice output and speech recognizing module for converting voice to sign symbol. These are interfaced with microcontroller, which is programmed to obtain corresponding output.","PeriodicalId":113531,"journal":{"name":"2013 International Conference on Recent Trends in Information Technology (ICRTIT)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Recent Trends in Information Technology (ICRTIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRTIT.2013.6844221","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Tongue and Ear plays a major role for speaking and hearing by normal person. But it is impossible to speak and hear by deaf and dumb people. But they normally speak using their sign action with others. It is easily understood by their community, but they fell difficult when they communicate with normal people because normal person can't able to understand their sign symbol. To tackle this situation we design a system which converts their sign symbol to text as well as voice output and normal person's voice to corresponding sign symbol for two way communication. This system has flex sensor and IMU (Inertial Measurement Unit) to recognize their sign symbol, speech synthesis chip for voice output and speech recognizing module for converting voice to sign symbol. These are interfaced with microcontroller, which is programmed to obtain corresponding output.