Literature Review: Advancements in Sign Language Translation
I am thrilled to continue sharing my journey through the development of myproject, which focuses on creating a groundbreaking Saudi Sign Language (SASL) translation system. Today, I will dive into some fascinating literature that has informed my research and helped shape the direction of my work. To build a robust SASL translation system, it's crucial to understand the state-of-the-art techniques and technologies that have been developed for similar purposes. Here are some key studies and their contributions to the field: Convolutional Neural Networks (CNN) for Gesture Recognition Two pivotal studies have employed CNN to recognize Arabic sign language gestures and translate them into text. These studies underscore the power of deep learning in accurately identifying and translating sign language. [1] focuses on facilitating communication between deaf and non-deaf individuals using a Pepper robot. The system not only recognizes gestures but also processes natural language, c...