Journal of Cardiovascular Disease Research
Deep Learning Models for Sign Language Translator
Sruthi Nookala, Sreelatha Pulipaka
JCDR. 2021: 2037-2047
Abstract
Today the main problem faced by the deaf and dumb folks is the communication share, to deliver their thought with other deaf and dumb people and with other normal people. There have been several advancements in technology and a lot of research has been done to help the people who are deaf and dumb. Aiding the cause, Deep learning, and computer vision can be used too to make an impact on this cause. This can be very helpful for the deaf and dumb people in communicating with others as knowing sign language is not something that is common to all, moreover, this can be extended to creating automatic editors, where the person can easily write by just their hand gestures. This system wills assistance those folks by providing an intermediate to communicate. It is implemented using Open cv python concept-based gesture recognition. When the dumb people use gesture through fingers this system will convert into voice to communicate with other people. The raspberry pi 3B model is used and to play the audio file using python.
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