基于深度学习和Jetson Nano的便携式香港手语翻译平台

Zhenxing Zhou, Yisiang Neo, K. Lui, V. Tam, E. Lam, N. Wong
{"title":"基于深度学习和Jetson Nano的便携式香港手语翻译平台","authors":"Zhenxing Zhou, Yisiang Neo, K. Lui, V. Tam, E. Lam, N. Wong","doi":"10.1145/3373625.3418046","DOIUrl":null,"url":null,"abstract":"As hearing loss is arousing more and more public concern, different researches have been conducted on translating the sign language into spoken language. However, most of these researches remain in a theoretical level and few of them investigate how to realize a real system. In this paper, we introduce an effective and portable Hong Kong sign language recognition platform which can translate the Hong Kong sign language within a few seconds. In this platform, there are mainly two parts: a mobile application and a Jetson Nano. The mobile application accounts for preprocessing the sign video and transferring the videos to Jetson Nano. Then, Jetson Nano will translate sign videos into spoken language with the pretrained deep learning model and return the results to the mobile application. With this platform, non-disabled people can easily translate and understand the sign performed by deaf people through mobile phones quickly. We believe that this platform can significantly facilitate the daily communication between deaf people and the others in Hong Kong.","PeriodicalId":433618,"journal":{"name":"Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"A Portable Hong Kong Sign Language Translation Platform with Deep Learning and Jetson Nano\",\"authors\":\"Zhenxing Zhou, Yisiang Neo, K. Lui, V. Tam, E. Lam, N. Wong\",\"doi\":\"10.1145/3373625.3418046\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As hearing loss is arousing more and more public concern, different researches have been conducted on translating the sign language into spoken language. However, most of these researches remain in a theoretical level and few of them investigate how to realize a real system. In this paper, we introduce an effective and portable Hong Kong sign language recognition platform which can translate the Hong Kong sign language within a few seconds. In this platform, there are mainly two parts: a mobile application and a Jetson Nano. The mobile application accounts for preprocessing the sign video and transferring the videos to Jetson Nano. Then, Jetson Nano will translate sign videos into spoken language with the pretrained deep learning model and return the results to the mobile application. With this platform, non-disabled people can easily translate and understand the sign performed by deaf people through mobile phones quickly. We believe that this platform can significantly facilitate the daily communication between deaf people and the others in Hong Kong.\",\"PeriodicalId\":433618,\"journal\":{\"name\":\"Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility\",\"volume\":\"82 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3373625.3418046\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3373625.3418046","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

摘要

随着听力损失问题越来越受到人们的关注,人们对手语转化为口语的研究也越来越多。然而,这些研究大多停留在理论层面,很少研究如何实现一个真实的系统。在本文中,我们介绍了一个有效和便携的香港手语识别平台,可以在几秒钟内翻译出香港手语。在这个平台中,主要有两个部分:移动应用程序和Jetson Nano。移动应用程序负责对标识视频进行预处理并将视频传输到Jetson Nano。然后,Jetson Nano将使用预训练的深度学习模型将标识视频翻译成口语,并将结果返回给移动应用程序。有了这个平台,非残疾人可以方便地通过手机快速翻译和理解聋哑人的手势。我们相信这个平台可以大大促进香港聋人与他人的日常交流。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Portable Hong Kong Sign Language Translation Platform with Deep Learning and Jetson Nano
As hearing loss is arousing more and more public concern, different researches have been conducted on translating the sign language into spoken language. However, most of these researches remain in a theoretical level and few of them investigate how to realize a real system. In this paper, we introduce an effective and portable Hong Kong sign language recognition platform which can translate the Hong Kong sign language within a few seconds. In this platform, there are mainly two parts: a mobile application and a Jetson Nano. The mobile application accounts for preprocessing the sign video and transferring the videos to Jetson Nano. Then, Jetson Nano will translate sign videos into spoken language with the pretrained deep learning model and return the results to the mobile application. With this platform, non-disabled people can easily translate and understand the sign performed by deaf people through mobile phones quickly. We believe that this platform can significantly facilitate the daily communication between deaf people and the others in Hong Kong.
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