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Title: :  Sign Language Recognition System For Differently Abled Person
PaperId: :  18684
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 6 2022
DUI:    16.0415/IJARIIE-18684
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
M Jagadeeswar Meenakshi Sundararajan Engineering College
Harish PMeenakshi Sundararajan Engineering College

Abstract

Data science
Data Science, AI, ML, DL
Nonverbal communication, such as sign language, uses outward body movements to convey key messages either simultaneously and concurrently with spoken words or in place of speech. The hands, face, or other body parts can move when using the performance of different neural network models in this area to obtain balanced neural network models, which not only recognize sign languages with good accuracy but also runs on lower-end embedded systems and smartphones with acceptable speed. This would help develop real-time and portable sign language. In contrast to gestures, which convey a specific language recognition system. Messages, pure expressive displays, proxemics, and displays of shared attention are examples of physical nonverbal communication. Culture-specific gestures can communicate significantly different meanings in various social or cultural contexts. The goal of this research is to develop a Deep Learning algorithm that can categorize photos of various sign languages, including alphabetic and numeric images. The accuracy of hand gesture types classification using CNNs is higher than that of the suggested and existing algorithms, according to a comparison it gives more accuracy than the ANN algorithm where ANN doesn’t contain any hidden layers so the accuracy will be lesser. In CNN AlexNet consists of eight layers five convolutional layers, two fully-connected hidden layers, and one fully-connected output layer. Whereas the AlexNet in ANN contains only eight convolution layers. It increases the accuracy.

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IJARIIE M Jagadeeswar , and Harish P. "Sign Language Recognition System For Differently Abled Person" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 6 2022 Page 1110-1106
MLA M Jagadeeswar , and Harish P. "Sign Language Recognition System For Differently Abled Person." International Journal Of Advance Research And Innovative Ideas In Education 8.6(2022) : 1110-1106.
APA M Jagadeeswar , & Harish P. (2022). Sign Language Recognition System For Differently Abled Person. International Journal Of Advance Research And Innovative Ideas In Education, 8(6), 1110-1106.
Chicago M Jagadeeswar , and Harish P. "Sign Language Recognition System For Differently Abled Person." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 6 (2022) : 1110-1106.
Oxford M Jagadeeswar , and Harish P. 'Sign Language Recognition System For Differently Abled Person', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 6, 2022, p. 1110-1106. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Sign_language_prediction_for_differently_aged_people_2_ijariie18684.pdf (Accessed : ).
Harvard M Jagadeeswar , and Harish P. (2022) 'Sign Language Recognition System For Differently Abled Person', International Journal Of Advance Research And Innovative Ideas In Education, 8(6), pp. 1110-1106IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Sign_language_prediction_for_differently_aged_people_2_ijariie18684.pdf (Accessed : )
IEEE M Jagadeeswar , and Harish P, "Sign Language Recognition System For Differently Abled Person," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 6, pp. 1110-1106, Nov-Dec 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/Sign_language_prediction_for_differently_aged_people_2_ijariie18684.pdf [Accessed : ].
Turabian M Jagadeeswar , and Harish P. "Sign Language Recognition System For Differently Abled Person." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 6 ().
Vancouver M Jagadeeswar , and Harish P. Sign Language Recognition System For Differently Abled Person. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : ]; 8(6) : 1110-1106. Available from: https://ijariie.com/AdminUploadPdf/Sign_language_prediction_for_differently_aged_people_2_ijariie18684.pdf
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