A Portable Hong Kong Sign Language Translation Platform with Deep Learning and Jetson Nano

Zhenxing Zhou, Yisiang Neo, K. Lui, V. Tam, E. Lam, N. Wong
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引用次数: 9

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.
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基于深度学习和Jetson Nano的便携式香港手语翻译平台
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。
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