COMPUTER APPLICATIONS CONTROL BY HAND GESTURE RECOGNITION

Mankind has grown from Keyboard input to touch. Now the big question is, What Next? In this paper a solution to this problem is proposed by introducing a new algorithm so as to minimize the hassle of controlling the most frequently used set of computer applications. The proposed algorithm provides the flexibility to control different application depending upon hand gesture. A user can assign his/her desired application to the hand gesture and can control the application just by posing the assigned gesture in front of the computer. Since, the proposed approach depends only on the peaks generated due to fingers raised hence, it is invariant to user’s skin tone as well as the lighting condition in the background. A simple web cam working on 30 fps with up to 30 mega pixel intensity is sufficient to perform the task. The images are captured through web cam. Further, pre-processing is performed for background noise removal and segmenting the hand object from background. Likewise, only segmented hand object is extracted and is processed for shape based features computation. As the speed dial application of smart phones minimizes the time and effort to open contact detail, this paper work on similar lines.