Gesture + voice control for macOS. Pinch to move cursor. Swipe for arrows. Circle to screenshot. Speak to run commands.
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Updated
May 20, 2026 - Swift
Gesture + voice control for macOS. Pinch to move cursor. Swipe for arrows. Circle to screenshot. Speak to run commands.
Gesture Recognition is a project to control Microsoft Powerpoint while presenting on a large screen, using the Microsoft Kinect Sensor, C# and Kinect SDK. Using their right or left hand, the presenter can slide to the next or previous page. They can also zoom in/out by fisting their hand, play/pause the presentation by displaying all/none fingers.
A real-time, interactive sliding puzzle game played using hand gestures via webcam, powered by OpenCV and MediaPipe
HandGestureDetector is a premium, AI-powered virtual mouse system that transforms your webcam into a sophisticated input device. Leveraging MediaPipe and high-performance interpolation, it offers smooth, desktop-grade cursor control and a rich set of multi-hand gestures.
A futuristic touchless interaction platform that transforms real-time hand gestures into digital drawing, controls, commands, and creative experiences.
Touchless Windows desktop control with hand gestures, air-drawn shortcuts, and a RealSense table keyboard.
Touchless controls plugin for any application 🖥️👆🏻
A computer vision–based virtual air writing system that allows users to write in the air using finger tracking, converting gestures into real-time digital text with interactive controls.
A touchless interaction platform that turns your webcam into an input device for drawing, presentation control, and system navigation using MediaPipe, OpenCV, and PyAutoGUI.
Futuristic air drawing application that lets you create art using hand gestures detected through your webcam. Features MediaPipe hand tracking, pinch-to-draw controls, an arc-shaped color palette, neon glow effects, and a sci-fi HUD overlay. Draw, sketch, and paint without touching anything - just gesture and create in mid-air.
"A suite of standalone Python utilities for gesture-based Human-Computer Interaction (HCI). Leverages MediaPipe and OpenCV to control Windows system functions (mouse, volume, brightness, zoom) via real-time hand landmark tracking and Kalman-filtered state estimation."
A touch-free document navigation system powered by real-time hand gesture recognition and computer vision.
A vision-based touchless OS controller that uses real-time hand gesture recognition and context-aware action routing for productivity, navigation, media control, scrolling, and zooming through a standard webcam.
High-performance, real-time hand detection and tracking system for touchless interaction, optimized via ONNX and deployed with FastAPI.
AI Virtual Mouse – Control your computer using hand gestures with OpenCV, Mediapipe & PyAutoGUI. Move the cursor, click, and scroll — all without a physical mouse.
A browser-based human-computer interaction system that enables touchless website control using real-time hand gesture recognition and computer vision.
Vision-based hand gesture mouse control using MediaPipe and OpenCV
Touch-free HCI system combining real-time facial recognition and gesture controls for secure, accessible, and intuitive human-computer interaction.
A vision-based real-time hand gesture system enables personalized, touchless volume control.
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