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

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.

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.

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

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.

A Python-based Virtual Mouse that uses hand gestures detected via webcam to control cursor movement and clicks in real time using OpenCV and MediaPipe.