Intelligent System of Interaction & Recognition for Computer-Human Interfaces

Abstract

The Human-Computer Interaction systems are the essential and emerging technology in the perspective of the computer vision trends now a days. The intelligent interaction of Human with the computer systems as on the user's side, is constrained by the nature of human communication organs and abilities like motions, posture, hand gestures, pointing gestures and other visual cues; on the computer side, it is constrained only by input/output devices and methods that we can invent. The real-time nature of such systems shifts the focus away from complex trackers that rely on heavy iterative optimizations, as they require too much computation time for processing. The proposed work is of two methods. The difference between these two models namely model based and example-based approaches, is that in example-based approaches the current pose or gesture is detected from a database of preset poses or gestures. The benefit of such approach is that the system can be much faster, as compare to other.