Our model is generated by applying the Random Forest Classifier Algorithm, which is then integrated with Mediapipe to analyze the hand gesture and recognize the alphabet. Thus, when presented with a ...

This project is designed to recognize American Sign Language (ASL) alphabet gestures in real-time using computer vision and machine learning. By utilizing OpenCV for webcam integration, MediaPipe for ...

Technological advancements play a significant role in the integration of deaf and mute individuals into society. Therefore, improvements in sign language recognition systems are of great importance.

To solve the problems of low recognition accuracy and poor robustness of existing sign language letters recognition models in scenes such as complex background interference and overlapping hands, in ...

Transfer learning with YOLOV8 for real-time recognition system of American Sign Language Alphabet. Franklin Open , 2024; 8: 100165 DOI: 10.1016/j.fraope.2024.100165 Cite This Page : ...

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 ...

Creative studio Hello Monday has created an app that teaches hand positions in real-time to make it easier for people to learn the sign language alphabet.

Sign language can like any language be difficult to learn if you’re not immersed in it, or at least learning from someone who is fluent. It’s not easy to know when you’re making m… ...