FlowState Documentation

Welcome to FlowState’s documentation! FlowState is a cutting-edge Brain-Computer Interface (BCI) application designed to optimize flow states through real-time EEG neurofeedback using Muse headbands.

Key Features

• Real-time EEG Processing: Process brain signals at 256Hz from Muse headbands via LSL protocol

• Flow State Detection: Advanced algorithms using power spectral density analysis to identify flow states

• Binaural Beat Generation: Dynamic audio feedback for brainwave entrainment (Alpha, Theta, Gamma)

• Multi-modal Feedback: Coordinated audio, visual, and haptic feedback systems

• AI-Driven Optimization: Machine learning models for personalized flow enhancement

• Cross-platform Support: Works on Windows, macOS, and Linux

Getting Started

• Getting Started
  • What is FlowState?
  • Prerequisites
  • Installation
  • Running FlowState
  • First-Time Setup
  • Quick Test
  • Troubleshooting
  • Next Steps
  • Support
• User Guide
  • Understanding Flow States
  • Using FlowState
  • Activities & Optimization
  • Advanced Features
  • Troubleshooting Sessions
  • Metrics & Progress
  • Privacy & Data
  • Support Resources

Development

• Development Documentation
  • LLM-Based Development Workflow
  • FlowState Development Priority Queue (Consolidated)
  • Implementation Status
  • Completed Features
  • Planned Features
  • FlowState Features & Implementation Status
  • FlowState In-Line Documentation Standards
• Building the Documentation
  • Building Documentation
  • Documentation Structure
  • Linking to Documentation Pages
  • Contributing
  • Automated Building

Architecture

• Architecture Documentation

Research

• Research Documentation
  • Flow State Research
  • Neural Oscillations
  • EEG Signal Processing
  • References
  • Future Research Directions