Virtual Mouse Control using Hand Gestures by using Opencv

Information Technology

Virtual mouse control using hand gesture techniques is one of the studies of (HCI)Human Computer interaction . By this study of virtual mouse is implemented with a purpose for future generations. Mainly in this study there are three steps involved in it they are the hand gesture recognition, hand region features extraction, classification of these features. In this the hand gesture recognition is done with an inbuilt camera which ill grasp the hand gestures which are extracted previously and classified. Hand-gesture controlled laptops and computers have gained a lot of attraction in the market. This hand-gesture recognition technique is also known as a Leap motion. These hand-gesture recognition techniques are the most natural and effortless manner of communication. In this way the camera’s output will be displayed on the screen. The main concept of this virtual mouse control is to use the camera and perform the cursor movements or functions correctly. This virtual mouse provides and infrastructure between user and the system by using an inbuilt camera only. It allows the users to interact with machines without the use of any physical devices. By this study it represents that it is a method for controlling the cursor’s position without any electronic equipment. The actions like clicking dragging will be handled by various hand gestures. As an input device system will require a webcam. System will make use of the tools such as Open CV and python etc. The camera’s output will be displayed on the screen. Hand gesture recognition techniques were playing a major role in this project to implement it and running of the project also.

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