Paper Title
Sign Language Recognition
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Registration ID: IJNRD_191921
Published ID: IJNRD2304409
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Keywords
Sign Language Recognition
Abstract
Sign language has evolved into an astonishing development throughout time. Regrettably, some harmful side effects are connected with this language. While conversing with a deaf or mute person, not everyone is skilled at reading sign language. Communication is difficult without an interpreter. To overcome this, a solution that is adaptive and durable is necessary. Sign language must be translated in order for the general public to understand it. A camera-based gesture based communication acknowledgment framework would be utilized to change over gesture based communication signals into text and discourse to support hard of hearing and quiet people to take part in correspondence. There are effective ways, such as the CNN algorithm, for identifying hand motions or gestures and interpreting observed data into speech
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How To Cite (APA)
G. Srinivas, S. Kesava rao, E. M. V Deekshitha, & J. Pravarthi (April-2023). Sign Language Recognition. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(4), e48-e54. https://ijnrd.org/papers/IJNRD2304409.pdf
Issue
Volume 8 Issue 4, April-2023
Pages : e48-e54
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Paper Reg. ID: IJNRD_191921
Published Paper Id: IJNRD2304409
Research Area: Engineering
Author Type: Foreign Author
Country: -, -, -
Published Paper PDF: https://ijnrd.org/papers/IJNRD2304409.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304409
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