Real Time American Sign Language Detection Using Yolo-v9
This work addresses sign language detection for accessibility applications, but it is incremental as it applies an existing method to a new dataset.
The paper tackles real-time American Sign Language detection by applying the YOLO-v9 model, released in 2024, and demonstrates its superiority over previous models in this domain.
This paper focuses on real-time American Sign Language Detection. YOLO is a convolutional neural network (CNN) based model, which was first released in 2015. In recent years, it gained popularity for its real-time detection capabilities. Our study specifically targets YOLO-v9 model, released in 2024. As the model is newly introduced, not much work has been done on it, especially not in Sign Language Detection. Our paper provides deep insight on how YOLO- v9 works and better than previous model.