Gesture Recognition is an approach that permits movement of hands and face expressions as input controls. A large number of devices are used at present for capturing images and kept in a repository within them for example digital camera with SD card, cellphones with inbuilt memory etc. Our main centre of interest is to capture images and storing them by using recognition method in MATLAB which acts as a processing device for this technology. The main aim of this approach is to make it able for user to communicate with their computer system intuitively without the control of “middleman” (mouse, keyboard, etc.) and to make the PC’s as “human” as possible. This method is part of what is called ”perceptual computing”, a way of personal recognizing experience that gives the devices the talent to translate what we are performing via human like senses. Swipe of a finger, wrist twisting, wave of an arm-all are easier to do instead of using our hands and fingers on a keyboard or mouse when dealing with a computer. The gesture recognized devices are already advanced but we are paying attention on bridging the gaps between the two entirely different worlds i.e. Physical and Digital world with the help of sixth sense technology. ’Prerecognition Technology’ is a wearable gestural interface that enlarge the physical world in our vicinity with digital facts and allow us to use natural gestures to interact with that information.
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