Sign language is the only method of communication
for the hearing and speech impaired people around the world.
Most of the speech and hearing-impaired people understand
single sign language. Thus, there is an increasing demand for
sign language interpreters. For regular people learning sign
language is difficult, and for speech and hearing-impaired
person, learning spoken language is impossible. There is a lot of
research being done in the domain of automatic sign language
recognition. Different methods such as, computer vision, data
glove, depth sensors can be used to train a computer to interpret
sign language. The interpretation is being done from sign to text,
text to sign, speech to sign and sign to speech. Different countries
use different sign languages, the signers of different sign
languages are unable to communicate with each other. Analyzing
the characteristic features of gestures provides insights about the
sign language, some common features in sign languages gestures
will help in designing a sign language recognition system. This
type of system will help in reducing the communication gap
between sign language users and spoken language users.
A Real Time Sign Language Recognition System using Hand Tracking