Authors :
Anagha.G; Sinchana.S.Bharadwaj; Sumana.M.R; Varshini.Krishna.Mohan; Nagaraj.A
Volume/Issue :
Volume 7 - 2022, Issue 4 - April
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3wGdW7H
DOI :
https://doi.org/10.5281/zenodo.6568413
Abstract :
It is said that more than one billion people in
the world are disabled. One of the only ways they can
communicate among themselves or with people who don’t
have this disability is sign language. Sign language is a
creative way to communicate within the deaf community
by using gestures done by hand and other means that do
not require talking. It involves combining hand
movements, their shapes, etc. Body movements and facial
expressions are also taken into consideration. All these
factors help convey the person’s thoughts in a fluent
manner. Most of the general public who aren’t disabled
have no knowledge about sign language. Even out of the
few who are aware, the majority don’t know how to use it
for communication, this stops them from interacting with
the deaf and mute people. Through this software, we want
to raise awareness towards sign language and help bridge
the gap by creating a sign language interpreter that
recognizes hand gestures
Keywords :
Sign Language Recognition, Mobile Application, Convolutional Neural Network, Machine Learning.
It is said that more than one billion people in
the world are disabled. One of the only ways they can
communicate among themselves or with people who don’t
have this disability is sign language. Sign language is a
creative way to communicate within the deaf community
by using gestures done by hand and other means that do
not require talking. It involves combining hand
movements, their shapes, etc. Body movements and facial
expressions are also taken into consideration. All these
factors help convey the person’s thoughts in a fluent
manner. Most of the general public who aren’t disabled
have no knowledge about sign language. Even out of the
few who are aware, the majority don’t know how to use it
for communication, this stops them from interacting with
the deaf and mute people. Through this software, we want
to raise awareness towards sign language and help bridge
the gap by creating a sign language interpreter that
recognizes hand gestures
Keywords :
Sign Language Recognition, Mobile Application, Convolutional Neural Network, Machine Learning.
