Abstract: Hand gestures are an effective form of communication, particularly when we are speaking to others who cannot comprehend our signing. It's also a crucial component of human-computer interaction. To ensure that listeners comprehend what speakers are attempting to say, understanding hand gesture is crucial. Speaking will be helpful for the deaf and the dumb, and the speaking mouth will be helpful for the stupid. Convolutional Neutral Networks (CNN) are frequently used to categorise photographs of hand gestures. Voice recognition is complemented by the conversion of hand movements into text picture manipulation. It offers more accuracy.
Keywords: CNN, Image Processing, Deep Learning, Feature extraction, Vision based system.
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DOI:
10.17148/IJARCCE.2022.11719
