HAND MOTION BASED MOUSE CURSOR CONTROL USING IMAGE PROCESSING TECHNIQUE

Abstract

The various devices are used for communications between the human and the machine. These devices are keyboard, mouse, etc. for performing tasks. While the workstation technologies are developing up, the roll of Person Workstation Interaction (HCI) is also increasing rapidly. Most of the devices uses touch screen technology which cannot be affordable to all the applications. For the traditional touch screen, virtual mouse can be used as substitute way in virtual person interactive module. Motion based interaction systems are very popular at workplace and at home. This paper proposes to develop a method and model that identifies hand motions which can be used as an input command to work together with the workstation system. The motion is recognized and the action specific is performed. While developing the system using image processing, one key area is looking for the system. The method is created to recognize the motions and built in task for every motion. PyAutoGUI is providing coding system in Python and uses the OpenCV library. The purpose of real-time hand motion recognition in the real world are numerous, since it can be used almost anywhere. The technique is focused on the use of a webcam. Then it is used to develop a virtual Person Workstation Interaction Device in a cost-effective manner.