Sign language translation Computer vision and deep learning approach for gesture recognition

Key Points

• The central aim is to assess the effectiveness of a deep learning approach for gesture recognition in sign language translation.
• Utilized computer vision algorithms for gesture recognition
• Applied deep learning techniques to enhance recognition accuracy
• Conducted evaluations comparing gesture recognition performance
• Demonstrated significant improvements in gesture recognition accuracy
• Highlighted the potential for real-time sign language translation
• Indicated user-friendly interactions in gesture-based communication