Sign Language Translation: Computer Vision and Deep Learning Approach for Gesture Recognition

Key Points

• The study aims to assess the effectiveness of a computer vision and deep learning approach for recognizing sign language gestures.
• Developed a gesture recognition system using computer vision techniques.
• Implemented deep learning algorithms to improve accuracy.
• Evaluated the system's performance in recognizing various sign language gestures.
• The computer vision approach successfully identified a majority of sign language gestures.
• Deep learning techniques improved translation accuracy compared to traditional methods.

Abstract