Abstract
There seems to be an issue between the communication of differently abled and others. That is why we have decided to make an application to mitigate this issue and reduce the dependencies on third parties like translators. We have studied different approaches taken and discussed them. Recognition of hand signs is a popular topic since the 90s and various findings have been uncovered in the following years. We have written about popular methods for this. For this application to work we have to weigh in feature extraction, object detection, and predictions using a machine learning model.
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 callMore From: International Journal of Scientific Research in Computer Science, Engineering and Information 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.
