American Sign Language (ASL) recognition systems often struggle with ... operating in real time under varying conditions. Using a standard webcam and advanced tracking, it offers a scalable ...

SignBart is an efficient Isolated Sign Language Recognition model that decouples x and y coordinates using a lightweight encoder-decoder architecture. It achieves high accuracy with fewer than 750K ...

Key Laboratory of High Efficiency and Clean Mechanical Manufacture of Ministry of Education, School of Mechanical Engineering, Shandong University, Jinan, Shandong 250061, China National Demonstration ...

Gesture detection is the primary and most significant step for sign language detection and sign language ... Consequently, researchers have begun investigating the use of HMMs in spatio-temporal ...

Gesture recognition plays a crucial role in various applications such as virtual environment control, sign language translation ... the hand gesture detection system using MediaPipe, TensorFlow, and ...

This paper introduces a Convolutional Neural Network (CNN) model for Arabic Sign Language (AASL) recognition, using the AASL dataset. Recognizing the fundamental importance of communication for the ...

Most people are not aware of sign language recognition. To support this ... also other signs that are used in sign language with the help of OpenCV and Keras modules in python. By using this ...