Browsing by Author "Siddique, Zeeshan Azam (17CO50)"

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    Parley; hand gesture recognition for deaf and dumb people
    (AIKTC, 2021-05) Syed, Aamer; Mansoori, Abdul Rehman Abdullah (17CO34); Siddique, Zeeshan Azam (17CO50); Pathan, Yunus Abdul Bari (16CO43); Khan, Irfan Iqbal (15CO18)
    1. According to 2011 census of India states that 7 million Indians are suffering from hearing and speech impairment. 2. Sign languages are a visual representation of thoughts through hand gestures, facial expressions, and body movements. 3. Their circle is very much limited. They should not be part of the deaf world alone,which seems cloistered sometimes. 4. Recognition of sign language can be done in two ways, either glove based recognition or vision based Recognition. So, the proposed system uses the vision based recognition method. 5. So conversing in their regional sign language brings more comfort for the people to share their ideas and thoughts among their near and dears. Keywords: Indian Sign language (ISL), Sign language recognition, Machine Learning, Algorithm, NLP, API, Dataset, Framework, User Interface, Hand Gesture, Convolutional Neural Network (CNN).