Abstract
This report outlines the development of an air gesture keyboard utilizing machine learning technology, designed to assist visually impaired individuals in entering text more easily. This innovative system removes the need for physical keyboards, instead employing a remote-based system that translates hand gestures into text through the use of an accelerometer, Arduino, and switches. There is a significant need for alternative input methods for visually impaired individuals due to the limitations of existing technologies. The proposed air gesture keyboard captures and interprets hand motions in the air, enabling users to input text without physical contact. A literature review was conducted to examine related research on hand gesture recognition using various techniques.
Sign-in/Register to access full text options 
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 Innovative Research in Engineering
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.
