肢体残疾人手语译员

Madhur Gattani, Saloni Nathani, Mohit Agrawal, Adarsh Kashyap
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引用次数: 0

摘要

这项研究介绍了一种新颖的手语翻译器,旨在改善身体残疾者,尤其是听力损失者的无障碍环境和交流。通过使用最先进的人工智能和机器学习算法,该技术可以实时翻译手语动作,消除社交、职业和教育交流障碍。通过研究人员、技术开发人员和肢体残障人士之间的持续合作,这项发明希望能为建设更具包容性的社会做出实质性贡献。在这样的社会中,各种体能的人都能积极互动、参与并取得成功。本摘要概括了这一革命性技术的基本思想,即在正式的学术层面上促进接纳、平等和理解
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sign Language Interpreter for Physically Challenged People
This study introduces a novel sign language interpreter designed to improve accessibility and communication for those with physical disabilities, particularly those who experience hearing loss. Through the use of cutting-edge artificial intelligence and machine learning algorithms, the technology interprets sign language movements in real-time, removing social, professional, and educational communication barriers. By means of ongoing cooperation among researchers, technology developers, and individuals with physical disabilities, this invention hopes to make a substantial contribution towards the development of a more inclusive society. People of all physical capacities can actively interact, participate, and succeed in such a community. The fundamental ideas of a revolutionary technology that promotes acceptance, equality, and understanding at the formal, academic level are captured in this abstract
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