美国手语翻译系统为聋哑人

S. Upendran, A. Thamizharasi
{"title":"美国手语翻译系统为聋哑人","authors":"S. Upendran, A. Thamizharasi","doi":"10.1109/ICCICCT.2014.6993193","DOIUrl":null,"url":null,"abstract":"The proposed scheme recognizes and interprets American Sign Language symbols that have static gestures. The system provides an opportunity for deaf and dumb individuals to communicate and learn using computers. American Sign Language is a widely used and accepted standard for communication by people with hearing and speaking impairments. The proposed system recognizes and translates static hand gesture of alphabets in AS L into textual output. This text can further be converted into speech. The user of the system is free from data acquisition devices. The concepts of Principal Component Analysis (PCA) are used on the static gesture images of the AS L alphabet. The PCA features extracted from the image are used to classify the image into one of the AS L alphabet. The recognition of AS L gestures results in a textual output and is then can be converted into speech. Thus, the scheme helps the hearing and speech impaired to talk using computers.","PeriodicalId":6615,"journal":{"name":"2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)","volume":"1 1","pages":"1477-1481"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"American Sign Language interpreter system for deaf and dumb individuals\",\"authors\":\"S. Upendran, A. Thamizharasi\",\"doi\":\"10.1109/ICCICCT.2014.6993193\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The proposed scheme recognizes and interprets American Sign Language symbols that have static gestures. The system provides an opportunity for deaf and dumb individuals to communicate and learn using computers. American Sign Language is a widely used and accepted standard for communication by people with hearing and speaking impairments. The proposed system recognizes and translates static hand gesture of alphabets in AS L into textual output. This text can further be converted into speech. The user of the system is free from data acquisition devices. The concepts of Principal Component Analysis (PCA) are used on the static gesture images of the AS L alphabet. The PCA features extracted from the image are used to classify the image into one of the AS L alphabet. The recognition of AS L gestures results in a textual output and is then can be converted into speech. Thus, the scheme helps the hearing and speech impaired to talk using computers.\",\"PeriodicalId\":6615,\"journal\":{\"name\":\"2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)\",\"volume\":\"1 1\",\"pages\":\"1477-1481\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCICCT.2014.6993193\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCICCT.2014.6993193","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18

摘要

所提出的方案识别和解释具有静态手势的美国手语符号。该系统为聋哑人提供了一个使用计算机进行交流和学习的机会。美国手语是一种被有听力和语言障碍的人广泛使用和接受的交流标准。本文提出的系统能够识别并转换AS - L中静态的字母手势为文本输出。这篇课文可以进一步转化为口语。该系统的用户不受数据采集设备的影响。将主成分分析(PCA)的概念应用于asl字母的静态手势图像。从图像中提取的PCA特征用于将图像分类为AS - L字母表之一。对手势的识别产生文本输出,然后可以将其转换为语音。因此,该计划帮助听力和语言障碍的人使用电脑交谈。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
American Sign Language interpreter system for deaf and dumb individuals
The proposed scheme recognizes and interprets American Sign Language symbols that have static gestures. The system provides an opportunity for deaf and dumb individuals to communicate and learn using computers. American Sign Language is a widely used and accepted standard for communication by people with hearing and speaking impairments. The proposed system recognizes and translates static hand gesture of alphabets in AS L into textual output. This text can further be converted into speech. The user of the system is free from data acquisition devices. The concepts of Principal Component Analysis (PCA) are used on the static gesture images of the AS L alphabet. The PCA features extracted from the image are used to classify the image into one of the AS L alphabet. The recognition of AS L gestures results in a textual output and is then can be converted into speech. Thus, the scheme helps the hearing and speech impaired to talk using computers.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信