American Sign Language Alphabet Recognition Using Convolutional Neural Network

Non-verbal communication involves transmitting information through body language, facial expressions, and gestures. Smiling when meeting someone can indicate friendliness, acceptance, and openness. Unlike verbal communication, which uses language to convey information through text, speech, or sign language, nonverbal communication relies on physical expressions and gestures. American Sign Language (ASL) is widely used in the United States, second to English and Spanish. Technological advancements have enabled the recognition of sign language through machine learning. Machine learning, a method in information technology, allows computers to study data patterns to produce models for classification tasks like recognizing text, sound, and images. Using Convolutional Neural Networks (CNNs), researchers achieved a training accuracy of 93.67% and a validation accuracy of 96.85% for a model trained for 100 epochs with TensorFlow.