Mouse Gesture Recognition for Human Computer Interaction

Main Article Content

Krupalu Mehta, Meet Patel, Hardik Somaiya, Dhwanil Shah, Bhakti Palkar


In the field of Computer Science and Information Technology, it goes without saying that the focus has been shifted from the System Oriented software to the User Oriented software. Naturally, for such software applications, the importance of User Experience has gained a paradigm shift. The paper highlights the significance of a seamless interaction between the user and the computer by proposing a reliable algorithm for performing basic operations by drawing gestures with a mouse. It aims to embrace simplicity and quick access using gestures and providing effortless interaction for the uniquely abled users. The core of the algorithm comes from the Hidden Markov Model, which is emblematic of a probabilistic approach for gesture recognition.
DOI: 10.17762/ijritcc2321-8169.150505

Article Details

How to Cite
, K. M. M. P. H. S. D. S. B. P. “Mouse Gesture Recognition for Human Computer Interaction”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 3, no. 5, May 2015, pp. 2517-9, doi:10.17762/ijritcc.v3i5.4275.