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Hand Gesture Recognition and Voice Conversion for Deaf and Dumb

EasyChair Preprint no. 12802

5 pagesDate: March 28, 2024


Sign language plays an important role
in communication between deaf people and normal
people. Silent people have difficulty conveying their
message to people. Because the average person has
not received language education. It is very diffi-
cult to convey messages in an emergency situation.
Therefore, the solution to this problem is to convert
sign language into human voice. There are two
main technologies used to detect visual and non-
visual gesture or gestures and convert the detected
data into speech. Cameras will be used to measure
orientation in vision technology. Invisible technique
will be used in this project. Most stupid people are
deaf. Therefore, people’s voices can be transformed
into their own signature language.

Keyphrases: analysis, Dumb and Deaf., feature extraction, gesture recognition, Hand Gesture, principal component, sign language

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Eswar Reddy Gudditi and Saikiran Buchiraju and Dhathri Sriram Pinninti and Sai Lohith Karnati and Kamal Sutaria},
  title = {Hand Gesture Recognition and Voice Conversion for Deaf and Dumb},
  howpublished = {EasyChair Preprint no. 12802},

  year = {EasyChair, 2024}}
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