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Sign Language Recognition Using Deep Learning by srinivasan2004ss is a document available to read on EtoBox.

What is Sign Language Recognition Using Deep Learning about?

The document discusses a project on American Sign Language (ASL) recognition using deep learning and computer vision techniques, focusing on classifying static hand gestures into corresponding text or speech. The team implemented various convolutional neural network architectures, including LeNet-5 and MobileNetV2, to achieve high accuracy in recognizing ASL gestures, ultimately developing a web application for real-time translation. The project aims to improve communication for the deaf and hard-of-hearing

Author

srinivasan2004ss

Language

EN