#353 · Primary category: Computer Vision
Gesture-Controlled-Virtual-Mouse
Virtually controlling computer using hand-gestures and voice commands. Using MediaPipe, OpenCV Python.
Project last updated:11/13/23
GitHub Stars
853
Forks
254
Contributors
4
License
GPL-3.0
Why we included this project
Most of us only control a computer by touching something, a mouse, a trackpad, a keyboard. This project is a compact demonstration of getting around that with nothing but a webcam and Python. It uses MediaPipe's hand tracking and OpenCV to map static and dynamic gestures to cursor movement, left clicks, and right clicks, and it layers voice commands on top, so you can also drive the desktop by talking. The whole pipeline, from camera frame to mouse event, sits in a single educational build instead of being spread across a large framework, which makes it much easier to trace and modify. It currently targets Windows and pins Python 3.8.5, so it is not something you would ship to production, but for accessibility experiments, touchless kiosk demos, or a classroom lab in computer vision and human-computer interaction, it is a good place to start.
Articles for this project
No articles for this project yet.
To suggest a topic or contribute an article, contact us.
Related projects in this category
opencv
Open Source Computer Vision Library
RuView
π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.
PaddleOCR
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
MinerU
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
tesseract
Tesseract Open Source OCR Engine (main repository)