Lazyeat

Project Overview

Lazyeat is a gesture-based contactless control tool that lets you operate your computer without touching it. It uses a camera to recognize simple gestures such as swiping and clicking and maps them to common actions like play/pause, volume control, and page navigation, while also supporting voice input for hands-busy moments. Built on Tauri 2, it currently ships for Windows and macOS and suits situations where your hands are greasy or dirty, such as eating or cooking.

Pause your video with a wave, even with greasy hands.

Key Features

• Gesture recognition: uses a camera to detect swipes and clicks and map them to common actions
• Voice input: supports voice commands as a complement to gestures
• Camera-based control: operate the device without touching the mouse or keyboard
• Cross-platform: ships for both Windows and macOS
• Low learning curve: simple, intuitive gestures that need almost no practice

Target Audience

• Users who want to watch videos while eating without dirtying devices
• Users cooking or doing crafts with busy hands
• Users who prefer to control their computer from a distance

Quick Start

1. Download the installer for your platform from Releases or the official site
2. On first run, grant camera and microphone permissions as prompted
3. Face the camera and follow the guide to practice basic gestures like swiping and clicking
4. In common apps such as video players, use gestures to play/pause or adjust volume
5. Switch to voice input when you prefer to speak instead of gesturing

Core Advantages

• Touch-free: operate devices with greasy or dirty hands, avoiding repeated washing
• Intuitive gestures: swipes and clicks follow everyday habits, so the barrier is low
• Multi-platform: works on both Windows and macOS, covering common desktop systems
• Gestures plus voice: two complementary input methods for different preferences and contexts

System Requirements

Item	Requirement
OS	Windows, macOS
Hardware	A working camera; a microphone for voice input
Permissions	Camera and microphone access

Notes

• Gesture recognition depends on the camera view; poor lighting or too much distance reduces accuracy
• Voice input needs microphone permission and works best in a quiet environment
• Some platform builds are still in development; feature availability follows the release notes