Learning American Sign Language (ASL) offers more than a new way to communicate; it expands access for deaf and hard-of-hearing (HoH) individuals and introduces many to a distinct linguistic and ...

Abstract: This paper implements the deep learning technique VGG-16 convolutional neural network architecture that provides a method to correctly recognize ASL alphabet letters and symbols from images.

Abstract: In our interconnected world, effective communication is a fundamental human right fostering social interaction, education, and personal growth. However, individuals with sensory impairments, ...

A high-fidelity American Sign Language (ASL) translation system that uses MediaPipe Holistic for landmark detection and LSTM neural networks for real-time sign recognition.