Authors :
Jayashree G R; Bhargavi Vijendra Sangam; Dr. Girish Attimarad
Volume/Issue :
Volume 7 - 2022, Issue 7 - July
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3KqIalB
DOI :
https://doi.org/10.5281/zenodo.7021173
Abstract :
One of the common ways to communicate with
thedeaf people is sign language. Sign language helps them
to understand in a very easy manner and it also helps them
to communicate. But they should learn sign language in
order to communicate. Learning is a huge process and also
a difficult task. Initially by using finger spelled task one
can learn the sign language. Different signs are assigned to
understand different words. The main aim of the project
aims at collecting the different datasets and different
features are extracted which are very useful and different
approaches were used. Also many four folded results have
been used to extract many of the information by using
many approaches. Also from many of the previous work
the results were verified and given many validation sets to
train the data.
Keywords :
ISL, Sign Language, Machine Learning, Deaf People.
One of the common ways to communicate with
thedeaf people is sign language. Sign language helps them
to understand in a very easy manner and it also helps them
to communicate. But they should learn sign language in
order to communicate. Learning is a huge process and also
a difficult task. Initially by using finger spelled task one
can learn the sign language. Different signs are assigned to
understand different words. The main aim of the project
aims at collecting the different datasets and different
features are extracted which are very useful and different
approaches were used. Also many four folded results have
been used to extract many of the information by using
many approaches. Also from many of the previous work
the results were verified and given many validation sets to
train the data.
Keywords :
ISL, Sign Language, Machine Learning, Deaf People.
