计算机科学
手语
字母表
自然语言处理
动作(物理)
语音识别
语言学
人工智能
量子力学
物理
哲学
作者
D. Priyadharshini,R. Anandraj,K. R. Ganesh Prasath,S. A. Franklin Manogar
标识
DOI:10.1109/icstem61137.2024.10561024
摘要
This study aims to introduce a comprehensive application designed to facilitate learning and communication for sign language users. The purpose is to address the challenges faced by sign language learners and users in effectively communicating with non-sign language users and to enhance their overall learning experience. The application integrates advanced algorithms for sign language alphabet and word recognition, text-to-action conversion, multi-language support, and integrated voice output functionality. These features are developed through rigorous research and software engineering methodologies to ensure accuracy, efficiency, and user-friendliness. The study identifies the lack of comprehensive tools for sign language learners and users to effectively communicate with non-sign language users and the absence of seamless transition between different sign languages. Additionally, the study recognizes the need for enhanced accessibility and learning support for sign language users. These findings motivate the development of the proposed application to address these challenges and provide a solution that empowers sign language users and promotes inclusivity.
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