An Adam based CNN and LSTM approach for sign language recognition in real time for deaf people
Subrata Kumer Paul,
Md. Abul Ala Walid,
Rakhi Rani Paul
et al.
Abstract:Hand gestures and sign language are crucial modes of communication for deaf individuals. Since most people can't understand sign language, it's hard for a mute and an average person to talk to each other. Because of technological progress, computer vision and deep learning can now be used to count. This paper shows two ways to use deep knowledge to recognize sign language. These methods help regular people understand sign language and improve their communication. Based on American sign language (ASL), two sepa… Show more
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