a webcam-based virtual gesture mouse that is easy to use with hands on the desk.

In this project we will be using the live feed coming from the webcam to create a virtual mouse with complete functionalities.

This is an AI based Virtual Mouse controlled by our hand gestures and detectors.

Virtual-Mouse-Using-Hand-Gesture-master

This Python application enables control of the mouse cursor through hand gestures captured via webcam. It leverages Mediapipe for hand tracking and OpenCV for video processing, allowing users to perform actions like moving the cursor, left-clicking, right-clicking, dragging, and scrolling using intuitive gestures.

A virtual painting app built with Python that lets you draw using hand gestures or mouse input. Powered by OpenCV & MediaPipe for real-time gesture tracking. Ideal for AI, CV, and creative tech enthusiasts!

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Sky-Pointer (Virtual Mouse Using Hand Gestures!)

This Python project uses MediaPipe to create a virtual keyboard and mouse. It detects hand gestures to let users type on an on-screen keyboard, and use their index finger as a cursor. The program also supports actions like "clicking," scrolling, and quitting, all controlled by different hand poses.

Gesture Controller using hand gestures for system control with Python, MediaPipe, and OpenCV. Interact with your computer through intuitive gestures for mouse movement, clicking, volume adjustment, and brightness control. 🖐️🖱️

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Developed a system to control the mouse cursor using Python and OpenCV with the real-time camera. Fingertip location is mapped to RGB images to control the mouse cursor.

Developed a program for controlling the mouse movement using Python and OpenCV with a real-time camera that detects hand landmarks, tracks gesture patterns instead of a physical mouse.

Introducing an innovative virtual air mouse system for seamless computer interaction. Users control devices with hand gestures, while advanced features include air writing, text-to-speech, and easy text saving. Our project enhances usability, efficiency, and the digital experience.

As we know, the vision-based technology of hand gesture recognition is an important part of human-computer interaction (HCI). In the last decades, keyboard and mouse play a significant role in human-computer interaction. However, owing to the rapid development of hardware and software, new types of HCI methods have been required. In particular, technologies such as speech recognition and gesture recognition receive great attention in the field of HCI. Gesture is a symbol of physical behavior or emotional expression. It includes body gesture and hand gesture. It falls into two categories: static gesture [1–4] and dynamic gesture [5–8]. For the former, the posture of the body or the gesture of the hand denotes a sign. For the latter, the movement of the body or the hand conveys some messages. Gesture can be used as a tool of communication between computer and human [9–11]. It is greatly different from the traditional hardware based methods and can accomplish human-computer interaction through gesture recognition. Gesture recognition determines the user intent through the recognition of the gesture or movement of the body or body parts. In the past decades, many researchers have strived to improve the hand gesture recognition technology. Hand gesture recognition has great value in many applications such as sign language recognition [12–15], augmented reality (virtual reality) [16–19], sign language interpreters for the disabled [20], and robot control [21, 22].

This project implements an AI-powered Virtual Keyboard and Mouse utilizing Computer Vision and Machine Learning, allowing users to interact with their system through gesture-based controls instead of conventional physical peripherals.

AI-Powered Virtual Mouse 🖱️🤖 A touchless human-computer interaction system that uses MediaPipe and OpenCV to track hand gestures in real-time, enabling smooth cursor movement, left/right clicks, and custom gesture commands — all without touching a physical mouse.

A virtual mouse using gesture control lets users operate a computer without touching a physical mouse. Using a webcam, OpenCV, and MediaPipe, it tracks hand movements to move the cursor and perform clicks, offering a fast, touchless, and modern way to interact.**

Designed and implemented a virtual mouse control system using computer vision techniques. Enabled hands-free cursor movement and gesture-based clicks, enhancing accessibility and user experience. Demonstrated innovation and proficiency in computer vision and human-computer interaction.

Implementation for controlling the mouse cursor using hand gestures. Kalman filter and win32api are used for high accuracy, low latency tracking and ease of operation. 手の動きを使用してマウスカーソルを操作する。カルマンフィルタとwin32apiを使用し、低遅延、高精度を実現。

virtual mouse using hand gestures

I am proposing virtual mouse application by using hand gesture recognition captured from a webcam through a colour detection technique. In this proposed virtual mouse application, the user will be allowed to control some of the computer cursor functions using their hand baring colour caps or tapes on fingertips. Primarily the user can perform left clicks, right clicks, left double clicks and drag and drop a file in a folder with free cursor movement.

Ai Virtual mouse that can be controlled only by using Hand Gestures

Hand-gesture mouse control and desk-surface virtual keyboard using computer vision.

A virtual mouse controlled by hand gestures using finger points. Implemented using mediapipe and openCV.

AI Virtual Mouse – Control your computer cursor with hand gestures using OpenCV, MediaPipe, and AutoPy. Freeze cursor, move, and click — all with your hand! Perfect for touchless interaction.

This Python script utilizes OpenCV, MediaPipe, and PyAutoGUI to implement a virtual mouse that tracks hand movements via a webcam. It enables cursor movement and clicking using hand gestures.

Virtual Mouse is an AI-powered project that lets you control your computer cursor using hand gestures via webcam. Built with Python, OpenCV, MediaPipe, and PyAutoGUI, it supports real-time tracking, gesture-based clicks, scrolling, and drag actions, offering a smooth, hands-free experience across platforms.

This python script can be used to recognize hand gesture and carry out functions such as Play/Pause, Minimize/Maximize screen, On/Off Subtitle, Activate Virtual Mouse, Previous/Next video, Speech to Text Recognition

An AI mouse is a computer mouse that uses artificial intelligence (AI) and machine learning algorithms to enhance its functionality and provide a more personalized and efficient user experience.