Abstract
Speech impaired people use hand signs and gestures to communicate. The problem is translator needs every time to translate sign language. Artificial Intelligence capture hand expression with the help of camera show us what a person says and result shown in the text format. In the starting stage we provide the data for sign language for better result with good accuracy and testing this model. Various deepmachine learning algorithms are applied on the datasets, including Long Short-Term Memory (LSTM) RNN.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callSimilar Papers
More From: International Journal of Engineering Applied Sciences and Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
