Deep Learning Approaches to Bangla Sign Language Recognition

What is it about?

For those who are hearing challenged, sign language is essential to communication because it enables them to connect with others and express their ideas. For the deaf and hard of hearing community, sign language is the key to breaking down communication barriers. In the domains of computer vision and machine learning, sign language recognition (SLR) has attracted a lot of interest lately. Despite not being an international language, researchers are trying to improve this mode of communication for wider use. In order to help native speakers, this paper suggested a model that uses convolutional neural networks (CNN) for picture classification to recognize Bengali sign language movements. Bangla sign language was detected using a sizable dataset that was made available to the public. The model was used to identify and classify pictures of hands.

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Why is it important?

Our result shows that the model is quite effective at classifying BdSL signs, which could really enhance communication accessibility for the hearing-impaired community.

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