AI Advances Sign Language Recognition Using Pose Estimation

The research, published on ArXiv, presents a novel approach to sign language recognition using an end-to-end encoder architecture, leveraging pose-based data. This method potentially offers improvements in accuracy and efficiency for automated sign language translation and understanding.

• •Utilizes an end-to-end encoder architecture.
• •Employs pose-based data for recognition.
• •Published on ArXiv, indicating early-stage research.