REAL-TIME SIGN LANGUAGE RECOGNITION
REAL-TIME SIGN LANGUAGE RECOGNITION
Gulzada Esenalieva,Mohd Tauheed Khan,A. Ermakov,Eliza Tursunbekovna
TLDR
A method employing an open-source tool known as MediaPipe, along with OpenCV and a machine learning algorithm, facilitates the recognition of sign language, achieving real-time sign language recognition without relying on specialized wearable devices, enhancing convenience and accessibility.
Abstract
Individuals who are deaf or mute frequently encounter communication barriers. Nevertheless, recent progress in artificial intelligence (AI) has mitigated these challenges. A method employing an open-source tool known as MediaPipe, along with OpenCV and a machine learning algorithm, facilitates the recognition of sign language. This system achieves real-time sign language recognition without relying on specialized wearable devices, enhancing convenience and accessibility. In this context, machine learning plays a pivotal role in recognizing and interpreting sign language, thus facilitating communication within the deaf-mute community. Key terms include artificial intelligence (AI), deep learning, computer vision, machine learning, sign language, and recognition of sign language. Overall, these technological advancements signify a significant step towards inclusive communication for all.
