FlowState
Getting Started
Getting Started
What is FlowState?
Prerequisites
Hardware Requirements
Software Requirements
Installation
1. Clone the Repository
2. Backend Setup
3. Frontend Setup
4. Connect Your Muse Headband
Windows
macOS/Linux
Running FlowState
1. Start the Backend
2. Start the Frontend
3. Begin Your Session
First-Time Setup
Calibration
Configuration
Quick Test
Troubleshooting
Muse Connection Issues
Python Environment Issues
Next Steps
Support
User Guide
Understanding Flow States
What is a Flow State?
How FlowState Detects Flow
Using FlowState
Daily Workflow
Feedback Modes
Audio Feedback
Visual Feedback
Haptic Feedback
Activities & Optimization
Best Activities for Flow
YouTube Integration
Session Types
Focus Session
Creative Session
Learning Session
Advanced Features
Custom Protocols
Data Export
Integration with Other Tools
Troubleshooting Sessions
Common Issues
Optimization Tips
Metrics & Progress
Understanding Your Data
Progress Indicators
Setting Goals
Privacy & Data
Support Resources
Development
Development Documentation
LLM-Based Development Workflow
Overview
Workflow Stages
1. Ideation and Planning
2. Prompt Engineering
3. Code Generation
4. Testing and Refinement
Best Practices
Integration with Priority Queue
Templates
Feature Development Template
Debugging Template
Workflow Optimization
FlowState Development Priority Queue (Consolidated)
Core Philosophy
Current Implementation Status
Priority 1: EEG Foundation π§ (Critical Path)
1.1 EEG Signal Processing
1.2 Alpha/Theta Optimization
1.3 Enhanced Neural Entrainment
Priority 2: Advanced Flow Detection π (High Impact)
2.1 Entropy-Based State Detection
2.2 Real-time State Classification
2.3 Adaptive Entrainment
Priority 3: Recovery & Readiness π (Foundation)
3.1 Sleep Quality Analysis
3.2 HRV Integration
3.3 Recovery and Integration
Priority 4: Cognitive Enhancement π― (Advanced Features)
4.1 Cognitive Load Optimizer
4.2 Attention Density Maximizer
4.3 Visual Cortex Integration
Priority 5: Neural Network Optimization π (Enhancement)
5.1 Cross-Hemisphere Synchronization
5.2 Neuroplasticity Enhancement
5.3 Flow State Prediction
Priority 6: Environmental & Biological Optimization π (Supporting)
6.1 Circadian Rhythm Synchronization
6.2 Environmental Control System
Priority 7: Machine Learning & Analytics π (Future)
7.1 Machine Learning Flow Predictor
7.2 Flow State Analytics
Technical Implementation Optimizations
Processing Efficiency
Data Integration
Algorithm Enhancement
Key Performance Indicators
Impact Metrics
Research Foundation
High-Priority Action Items
Development Notes
Implementation Status
Core Systems
Neural Entrainment
Biometric Integration
Flow State Detection (
flow_state_detector.py
)
Frontend Integration
Upcoming Features
Recent Updates
Completed Features
Core Systems
1. Neural Entrainment System
2. Attention Density Maximizer
3. Flow State Stability System
4. Recovery and Integration System
5. Research System
6. Chaos System
Integration Features
1. Hardware Integration
2. Data Processing
3. User Interface
Technical Features
1. Performance Optimization
2. Data Management
3. Security
Documentation
Planned Features
Core Systems
1. Advanced Neural Entrainment
2. Enhanced Flow Detection
3. Cognitive Performance Optimization
4. Advanced Recovery System
Integration Features
1. Extended Hardware Support
2. Advanced Data Processing
3. Enhanced User Experience
Research Integration
1. Advanced Research System
2. Knowledge Integration
Performance Features
1. System Optimization
2. Advanced Analytics
3. Integration APIs
User Personalization
1. Advanced Profiles
2. Social Features
Documentation and Support
1. Enhanced Documentation
2. Development Tools
FlowState Features & Implementation Status
Core Systems
1. Neural Entrainment System
2. Flow State Detection & Stability
3. Attention Density Maximizer
4. Recovery and Integration System
5. Chaos System
6. EEG Foundation
7. Research System
8. Biometric Integration
Integration Features
1. Hardware Integration
2. Data Processing
3. User Interface
Technical Features
1. Performance Optimization
2. Data Management
3. Security
Documentation
Integration Status
Data Flow
Upcoming Features
Version History
FlowState In-Line Documentation Standards
Module Level Documentation
Class Level Documentation
Method Level Documentation
Documentation Guidelines
Style Conventions
Building the Documentation
Building Documentation
Prerequisites
Viewing Documentation
Documentation Structure
Linking to Documentation Pages
In Markdown Files (.md)
In RST Files (.rst)
Quick Links
Contributing
Automated Building
Architecture
Architecture Documentation
Research
Research Documentation
Flow State Research
Key Research Areas
Neural Oscillations
EEG Signal Processing
References
Future Research Directions
FlowState
FlowState
β
backend.core.inputs.health.providers.shimmer module
backend.core.inputs.health.providers.shimmer module
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