Action2Music Frontend

A real-time music generation web application using pose detection and computer vision to turn body movements into musical expressions.

🚀 Project Status: Stage 1 Complete

✅ Project Foundation Setup Complete

📋 What's Implemented

✅ Core Infrastructure

• Vite + React 18 + TypeScript - Modern development stack
• Tailwind CSS + Headless UI - Responsive UI framework
• ESLint + Prettier + Husky - Code quality and formatting
• Vitest + Testing Library - Comprehensive testing setup
• Zustand - State management
• React Query - Data fetching and caching

✅ Dependencies Installed

• MediaPipe (@mediapipe/holistic, @mediapipe/camera_utils, @mediapipe/drawing_utils)
• Tone.js - Web audio synthesis
• Development Tools - Complete toolchain for modern React development

✅ Project Structure

src/
├── components/          # React UI components
│   ├── common/         # Reusable UI components (Button, LoadingSpinner)
│   ├── camera/         # Camera-related components
│   ├── audio/          # Audio-related components
│   └── dashboard/      # Main control panel components
├── core/               # Core functionality modules
│   ├── vision/         # Computer vision (MediaPipe integration)
│   ├── audio/          # Audio processing (Tone.js integration)
│   ├── mapping/        # Action-to-music mapping engine
│   └── performance/    # Performance monitoring
├── hooks/              # React hooks
├── stores/             # Zustand state management
├── types/              # TypeScript type definitions
├── utils/              # Utility functions and constants
└── styles/             # CSS and styling

✅ Configuration Files

• TypeScript - Strict configuration with path aliases
• Tailwind CSS - Custom theme with dark mode support
• Vite - Optimized build configuration
• ESLint/Prettier - Consistent code formatting
• Husky + lint-staged - Pre-commit hooks for code quality
• Vitest - Testing configuration with jsdom environment
• VS Code - Workspace settings and extension recommendations

✅ Type System

Complete TypeScript definitions for:

• Common types - Base interfaces and utilities
• Pose detection - MediaPipe integration types
• Action recognition - Gesture and movement types
• Audio synthesis - Tone.js and Web Audio API types
• Mapping system - Action-to-music mapping types
• Performance monitoring - Metrics and optimization types

✅ State Management

Zustand stores for:

• App Store - Global application state
• Camera Store - Camera device management
• Audio Store - Audio engine and synthesis state

🛠 Development Setup

Prerequisites

• Node.js 16+
• Modern browser with WebRTC and Web Audio API support

Installation

npm install

Development

npm run dev          # Start development server
npm run build        # Build for production
npm run test         # Run tests
npm run lint         # Lint code
npm run format       # Format code

Testing

npm run test         # Run tests
npm run test:ui      # Run tests with UI
npm run test:coverage # Run tests with coverage

🏗 Next Steps (Stage 2: Core Vision System)

The foundation is complete. Next phase will implement:

1. MediaPipe Integration (45 minutes)

   • Core engine initialization
   • Camera permission handling
   • Holistic model loading
   • Real-time video processing

2. Pose Detection System (60 minutes)

   • Basic pose detection
   • Landmark data processing
   • Hand and face keypoint extraction
   • Data smoothing and filtering

3. Action Recognition (45 minutes)

   • Finger snap detection
   • Fist gesture recognition
   • Mouth movement detection
   • Action debouncing and validation

📖 Development Documentation

For detailed technical specifications and implementation guidelines, see DEVELOPMENT.md.

🧪 Testing

The project includes comprehensive testing setup:

• Unit tests for components and utilities
• Integration tests for component interactions
• Mock setup for MediaPipe and Web Audio APIs
• Test coverage reporting

🔧 Environment Configuration

Environment variables are configured in .env:

• MediaPipe model paths and settings
• Audio engine configuration
• Performance monitoring settings
• Debug and development options

📁 Project Standards

• TypeScript strict mode for type safety
• ESLint + Prettier for code consistency
• Conventional commits for clear git history
• Pre-commit hooks for code quality assurance
• Component-first architecture for maintainability

---

Status: ✅ Stage 1 Complete - Ready for Stage 2 Development Next: Core Vision System Implementation