cursor-control

AI-powered, camera-based mouse cursor control written in C++. Turn your webcam into a hands-free pointing device — built for gaming, perfect for everyday use and accessibility.

Hands-free cursor control using dual-channel EOG (eye tracking) and IMU (head tracking) with sensor fusion and SVM classification.

An intelligent eye-controlled cursor system built using Python, OpenCV, and MediaPipe Face Landmarker Task API. This project enables hands-free computer interaction using real-time facial landmark tracking, blink detection, gaze-based cursor movement, and scrolling zones — all using a standard laptop webcam without specialized hardware.

SketelCursor is an AI-powered virtual cursor that uses hand skeleton tracking, MediaPipe, OpenCV, and Generative AI for touchless computer interaction.

AirMouse is an open-source, real-time gesture-controlled mouse for Linux. It uses hand tracking to provide smooth, adaptive cursor control, clicks, dragging and scrolling through natural hand movements—designed for low latency, reliability, privacy, and everyday desktop use.

An assistive system that enables hands-free computer interaction by controlling the mouse cursor using eye movements and blink detection, using OpenCV, MediaPipe, and PyAutoGUI. Ideal for users with mobility impairments.

Этот проект позволяет управлять курсором мыши с помощью джойстика, подключенного к Arduino. Также предусмотрена кнопка на джойстике для имитации левого клика мыши. Вся инфа с Arduino передается в Python-код, который преобразует их в движение курсора и клики.

Computer vision–based eye and blink tracking system for real-time, hands-free mouse control using Python, MediaPipe and facial landmarks.

This Gesture Control System allows users to control various system functions (like mouse movement, volume adjustment, and screen brightness) using hand gestures through a webcam. It leverages MediaPipe for hand tracking and PyAutoGUI for controlling the system. The project enables intuitive, hands-free control for everyday tasks.

The Automatic Cursor project is a desktop application developed in Python using PyQt5 that enables users to activate an automatic cursor movement mode on their screens. The cursor will move automatically and bounce off the edges of the screen.

A personalized head-tracking pointer system for hands-free computer interaction, using MediaPipe. Developed as a Chrome Extension for accessibility research at the UCSC Computer Vision Lab.

Homebrew tap for Cursor Control, a keyboard-driven macOS cursor and scrolling app

GestureBasedNavigation is a Unity plugin for hands-free UI control using real-time hand gestures. Perfect for AR/VR, kiosks, and interactive displays.

Webcam hand-tracking experiments for touchless cursor control and calibration.

This project demonstrates a hands-free cursor control system using eye movement. The system captures video through a webcam and processes the frames using OpenCV to detect the face and eyes. The pupil position is tracked to determine gaze direction, and the cursor movement is controlled using the PyAutoGUI library.

Control your mouse with your webcam using AI-powered head and eye tracking—no extra hardware needed.

TaskMaster is a simple command-line To-Do List application in Python.

Native macOS menu bar app for keyboard-driven cursor movement , clicking , dragging and scrolling

Real-time gyroscope-based wireless mouse controller using smartphone motion sensors, WebSockets, FastAPI, Android, and Next.js.

MouseMove is a free full-version tool for Windows that allows you to control your mouse cursor using the keyboard arrows. Adjust cursor speed easily for better navigation. Download and install in minutes.