Study Data from King Abdulaziz University Update Knowledge of Engineering (Advancements in Sign Language Recognition: A Comprehensive Review and Future Prospects).

A recent study from King Abdulaziz University in Jeddah, Saudi Arabia, explores advancements in sign language recognition. The study highlights the importance of sign language as a mode of communication for the hard of hearing and the need for innovative solutions to bridge the gap between hearing and non-hearing communities. The researchers found that deep learning techniques, such as convolutional and recurrent neural networks, have shown high accuracy in sign language recognition, and integrating non-manual features has improved recognition accuracy. The study concludes that ongoing advancements in this field have the potential to revolutionize communication and break down barriers for individuals who rely on sign language. [Extracted from the article]