Sign Language Recognition: Current State of Knowledge and Future Directions

A fast-emerging topic, Sign Language Recognition(SLR) focuses on creating technologies that allow computers to interpret sign language. In order to bridge gaps in communication between the hearing and deaf populations and to improve accessibility for those who are deaf, sign language should be acknowledged. These systems can precisely recognise sign language by detecting and tracking hand gestures, face expressions, and body language. The goal of this paper is to provide researchers with a thorough understanding of current SLR technology. To ensure a thorough and accurate analysis, the evaluation includes a number of literature sources, which are academic journals, conferences, and proceedings. The analysis underlines the need for consistent evaluation methodologies and standards and also discusses the datasets and evaluation metrics that are currently available for sign language recognition. Lastly, the report concludes the existing limitations of SLR and offers a roadmap for future possibilities in SLR.