Year: 2025
Type: article
Abstract: Communication can be a significant challenge for individuals who are deaf or hard of hearing. Sign language serves as a vital tool for these individuals, utilizing hand gestures, facial expressions, and body movements to convey messages and emotions. In recent years, the development of sign language recognition systems and gesture-based controls has played a pivotal role in bridging the communication gap between deaf and non-deaf people. This paper focuses on the advancements in real-time sign language translation systems, which enable immediate conversion of sign language into other forms of communication, such as text or speech. A detailed review of various sign language recognition technologies and systems developed between 2017 and 2021 is presented. These systems leverage a range of techniques, from sensor-based technologies and machine learning algorithms to more advanced visual recognition and wearable devices. By analyzing the evolution of these systems, this paper highlights the progress, challenges, and future prospects of sign language translation technologies, offering a comprehensive understanding of their potential in improving accessibility and communication for the deaf and hard-of-hearing community
Author: Subodini Gote
Institution: Rashtrasant Tukadoji Maharaj Nagpur University
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4408940564