Survey Paper on Sign Language Recognition

Abstract: To improve communication between those who are deaf or hard of hearing and the hearing population, sign language recognition is a developing field of study within computer vision and pattern recognition. The methodology, difficulties, and most recent advancements in sign language recognition are all covered in this survey paper's succinct and innovative review. The study discusses the distinctive features of sign language, looks at the basic building blocks of recognition systems, assesses the datasets and metrics that are currently available, and provides developments in deep learning and multimodal integration. In order to promote inclusivity and accessibility for the deaf and hard of hearing communities, it ends by proposing potential avenues for future research.

Keywords: Artificial intelligence, feature classification, machine learning, supervised learning, Mediapipe, SVM.