Abstract
Touch sensing devices have reached the pinnacle of success in the present era thereby revolutionizing human machine interaction. Capacitive touch-screens are popular because of its portability whereas image processing based touch-screens are massive but for low-cost surface computers with the capability of both touch and object-recognition, the latter is preferred because it uses optical solutions to sense touch.Multi-touch devices are in vogue and therefore the concept of surface computing is gaining popularity since it provides an enhanced multi-touch and multi-user experience.Multi-touch denotes a set of interaction techniques that allow computer users to control multimedia applications with several fingers. The concept of gesture recognition thus comes into the picture. Our objective is to implement a cost-effective multi-touch surface computing system. The image processing algorithms used are implemented in MATLAB and the simulation of gesture recognition is carried out using Open Source Computer Vision Library (OpenCV).
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