The aim of this study is to develop a prototype Bahasa Melayu Sign Language translator
which convert hand sign language to written text using the Deep Convolutional Neural …

This study explores the field of sign language recognition through machine learning,
focusing on the development and comparative evaluation of various algorithms designed to …

The popular methods are based on the combination of CNNs and RNNs in the sign
language translation. Recently, Transformer has also attracted the attention of researchers …

Sign language is used by the hearing impaired people for the purpose of communication on
daily basis. It is an optical language where hand gestures are used to communicate instead …

Purpose According to the Indian Sign Language Research and Training Centre (ISLRTC),
India has approximately 300 certified human interpreters to help people with hearing loss …

Sign language serves as a vital form of communication for individuals with hearing
impairments, enabling seamless interaction among those who cannot hear. It is a widely …

Our study explores the application of deep learning models, specifically LSTM (Long Short-
Term Memory) and CNN (Convolutional Neural Network), in the realm of sign language …

Sign language is a way of communicating using hand gestures, movements and facial
expressions, instead of spoken words. It is the medium of communication used by people …

Sign language serves as the primary mode of communication for the deaf community. With
technological advancements, it is crucial to develop systems capable of enhancing …

One of the most recent applications of machine learning is to translate sign language into
natural language. Many studies have attempted to classify sign language based on whether …