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The mouse is an indispensable input device that is used in the computer system. The concept of system control using hand gesture recognition. The major advantage of this concept is it reduces the direct interaction between the human and the device.The purpose of this proposed system is to help humans to control the system without directly getting interacted with the device. We first detect the user hand and its moments using ML models such as Palm Detection Model and Hand Landmark Model where the Palm Detection Model first detects the hand palm and then by using Hand Landmark Model it will detect all the hand landmark points. After detection of the hand, finding the distance between the two fingers is done by using euclidean formula and which helps us to recognize the Hand gestures. Based on the various Hand gestures, an event will be triggered which is basically like mouse move, mouse click. The primary aim of this paper is to build a system that helps the people to feel more comfortable and interact with devices. The user can navigate the computer cursor without bearing color caps or tapes, and left-clicking and dragging will be performed using different hand gestures. The proposed system uses a webcam and it is able to track the users hand bearing color caps in two dimensions. The system is implemented using the python and OpenCV. The hand gesture is the effortless and natural way of communication. The output of the camera is displayed on the monitor. The Shape and position information about the gesture will be gathered using detection of hand gesture..
Jeevan et al. (Tue,) studied this question.
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