An Approach to Control the PC with Hand Gesture Recognition using Computer Vision Technique

Aim:

          Human-Computer Interaction (HCI) can be defined as communication between user and computer system so that both will be able to exchange information. For a long time, Keyboards and mouse are the main basis of HCI

Abstract:

           Human-Computer Interaction (HCI) is the interface between humans and computers. Traditionally, mouse and keyboards are used to interact with computers. An approach recently introduced to interact with computers is hand gestures. In this research paper, an approach to recognize hand gestures is introduced, and a virtual mouse and keyboard with hand gesture recognition using Computer Vision techniques are implemented. Full keyboard features and mouse cursor movement and click events are implemented to control the computer virtually. The recognition rate and response rate of all the considered inputs are calculated and presented in the results.

Synopsis:

            Human computer interaction is the interface between humans and computer with the help of fingers detection in hand gesture method based on application program interface.

Proposed System:

            The object is tracked by flowchart of the above system for the single image of the captured video. As work is done on a real-time system, the operations shown in the flowchart will be applied continuously for each image that is taken out from the video.

Advantage:

           This Application is a real-time image processing based upon a real-time object tracking application system. This application replaces the input devices such as mouse and keyboard with hand gestures so that the usage of the system becomes easy.