A Vision Interface Framework for Intuitive Gesture Recognition using Color based Blob Detection
Author(s) -
Saikat Basak,
Arundhuti Chowdhury
Publication year - 2014
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/15799-4611
Subject(s) - computer science , interface (matter) , artificial intelligence , computer vision , gesture , gesture recognition , skin color , human–computer interaction , operating system , bubble , maximum bubble pressure method
facing the user. The user uses two different color markers on the fingers and when the mouse emulation is started using the graphical user interface provided with the software, the software tracks those markers using the camera. And this information is used to move the mouse pointer on screen. The user can also execute mouse events using gestures. The events that can be executed are left click, right click and scroll. In the following parts we talk about, Gesture Recognition – Here we elaborate the framework that has been developed, using diagrams and algorithms; Software Implementation – We discuss about various components, libraries and language used to develop the software; and finally, Conclusion – Here we conclude with what we could achieve with our research so far and what might be the future possibilities.
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