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Research Article Open Access
Humans communicate mainly by vision and sound; therefore, a man-machine interface would be more intuitive if it made greater use of vision and audio recognition. Another advantage is that the user not only can communicate from a distance, but need have no physical contact with the computer. However, unlike audio commands, a visual system would be preferable in noisy environments or in situations where sound would cause a disturbance. Gesture recognition can be seen as a way for computers to begin to understand human body language, thus building a richer bridge between machines and humans than primitive text user interfaces or even GUIs (graphical user interfaces), which still limit the majority of input to mouse. In this paper, we have identified an alternative to mouse command especially with reference to cursor controlling applications. The two application case scenario; one by hand gestures and another by hands-free interface i.e. Face gesture is discussed with algorithms used such as convex hull, Support vector machine and basic mathematical computation. They have been applied to give command and perform the activities like open any note pad, office tools software not by using mouse but by using gestures. The system when tested with different persons gestures and lightning conditions is giving reasonable results in identification and tracking of gestures/ gestures element. Then those identified gestures are applied to application designed. At last, the results obtained convey us that there is a good alternative to mouse that is by using gestures.
Gestures, Convex hull, Support Vector Machine., Computer Science,Computer Hardware