A survey on sign language literature

Abstract

Individuals with hearing impairment encounter various types and levels of difficulties, highlighting the need for more research to provide effective support. One significant difficulty is communication and interaction with others. Given that these individuals employ sign language as their primary mode of communication, there exists a notable information void among those who can hear in comprehending and interpreting sign language. Consequently, to bridge this gap, the field of sign language research has seen significant growth. In this study, we emphasize the importance of sign language recognition and translation and provide a comprehensive review of relevant research conducted in this field. Our examination encompasses multiple perspectives, including sign language recognition, translation, and the availability of datasets. By exploring these aspects, we aim to contribute to the advancement of sign language literature and its practical applications.

Keywords

• Sign language recognition
• Gesture recognition
• Facial expression recognition
• Sign language translation
• Artificial intelligence
• Machine learning