takaxp /
moom
A Moom port to Emacs - Make your dominant hand FREE from your mouse
47/100 healthActive repository
Emacs LispGPL-3.0#emacs#moom
⑂ 4 forks◯ 5 issuesUpdated Aug 17, 2025
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I-am-Not-Done / repository
A hands-free mouse controller that uses real-time eye tracking with facial landmark detection. Move your mouse cursor using just your eyes! Built with Python, OpenCV, and dlib, this project leverages webcam input to detect eye positions and control the cursor on-screen — ideal for accessibility, automation, and human-computer interaction projects.
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c v Eye Controlling Cursor
A hands-free mouse c. ontroller that enables users to control the computer cursor using real-time eye tracking and facial landmark detection. This system uses computer vision techniques to detect facial landmarks and track eye movements, allowing the cursor to move according to head position and perform mouse clicks through blink detection. Technologies Used
Features
Applications
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takaxp /
A Moom port to Emacs - Make your dominant hand FREE from your mouse
47/100 health1j01 /
Mouse control via head tracking, as a cross platform desktop app and JS library. eViacam alternative.
72/100 healthtrishume /
Combines Tobii eye tracking with TrackIR head tracking for a fast hands-free mouse replacement, in Rust!
The-Assembly /
In our continuing deep dive into practical real-time computer vision, we’ll show you how to code a hands-free webcam-based controller for your computer mouse using the OpenCV library on Python. This will allow you to control your computer without any physical peripheral required—Iron Man style! In this session, we’ll first obtain our live camera feed using OpenCV and then estimate hand poses using MediaPipe Hands, an open-source framework that employs machine learning to infer 3D landmarks of the hand from single frames in real-time without any fancy hardware acceleration, working even on mobile phones. Following this, we’ll set up our simulated mouse movement in response to the poses using the AutoPy automation module. Prerequisites: ✅ Python (latest release: https://www.python.org/downloads/release/python-395/) ✅ PyCharm (https://www.jetbrains.com/pycharm/download/) or any other Python code editor ✅ pip install: OpenCV (https://pypi.org/project/opencv-python/), MediaPipe, AutoPy ----------------------------------------- To learn more about The Assembly’s workshops, visit our website, social media or email us at workshops@theassembly.ae Our website: http://theassembly.ae Instagram: http://instagram.com/makesmartthings Facebook: http://fb.com/makesmartthings Twitter: http://twitter.com/makesmartthings
53/100 healthPhucHuwu /
Eye Control Pointer is a computer vision application that tracks eye movements to control the mouse cursor. Using OpenCV, MediaPipe, and PyAutoGUI, it enables hands-free interaction by moving the cursor with eye motion and performing clicks by blinking, enhancing accessibility and usability.
39/100 healthsTharun5 /
A smart, hands-free mouse controller powered by AI. This project leverages computer vision and machine learning libraries such as OpenCV and Mediapipe to enable gesture-based mouse control. Ideal for accessibility and innovative user interaction.
52/100 health