Communicating through hand gestures is one of the
most common forms of non-verbal and visual communication
adopted by speech impaired population all around the world. The
problem existing at the moment is that most of the people are not
able to comprehend hand gestures or convert them to the spoken
language quick enough for the listener to understand. A large
fraction of India’s population is speech impaired. In addition to
this communication to sign language is not a very easy task. This
problem demands a better solution which can assist speech
impaired population conversation without any difficulties. As a
result, reducing the communication gap for the speech impaired.
This paper proposes an idea which will assist in removing or at
least reducing this gap between the speech impaired and normal
people. The research going on this area mostly focuses on image
processing approaches. However, a cheaper and user-friendly
approach has been used in this paper. The idea is to make a glove
that can be worn by the speech impaired people which will further
be used to convert the sign language into speech and text. Our
prototype involves Arduino Uno as a microcontroller which is
interfaced with flex sensors and accelerometer, gyroscopic sensor
for reading the hand gestures. Furthermore, to perform better
execution, we have incorporated an algorithm for better
interpretation of data and therefore producing more accurate
result. Thereafter, we use python to interface Arduino Uno with a
microprocessor and finally converting into speech. The prototype
has been calibrated in accordance with the ASL (American Sign
Language).
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