I built a terminal-based real-time brain monitor that detects Optimal states vs. drift states during work. I'm looking for about 25-30 people to help test the system across different tasks to fine-tune our detection thresholds.
Who this is for: Students, developers, writers, or anyone doing focused computer work. No professional testing experience required!
Requirements:
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Hardware: Muse 2 or Muse S headset. (Note: Muse Athena is not supported at this time due to different sensor layouts).
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OS: Windows 10/11 PC.
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Interface: This is a terminal-based (CLI) application.
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Commitment: 3+ sessions (20-30 min each) over the next week.
The Protocol :
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Morning Baseline: A 60-second resting baseline captured within one hour of waking up. Crucial: Please do this while fully awake but before having your morning coffee.
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Pre-Session Readiness: A 60-second rest check before each work session. The system compares this to your morning baseline to recommend the best task type for your current state.
What it does:
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Real-time EEG Monitoring: Classifies your state every 2 seconds.
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Smart Notifications: You get instant Windows desktop alerts for:
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📉 Drift Detection: When the system notices your focus slipping.
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⚠️ Error Risk: Notifications when cognitive fatigue might lead to mistakes.
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🔌 Hardware Status: Immediate alerts if your Muse disconnects or the signal is poor.
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Post-Session Analytics: A detailed breakdown of your performance after you finish.
Task Types: We are primarily testing this for active work and learning, but we encourage you to try all task types to see the difference in your brain states!
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Peak: Complex coding, technical writing, problem-solving (Primary focus)
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Learning: Reading, studying (Primary focus)
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Standard: Email, admin, routine work
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Passive: Light browsing, videos, movies
Total Time: ~20 min setup + ~2 hours of total testing (spread across your normal work sessions).
How to Sign up:
You'll receive an automatic email immediately with: ✅ Your unique participant ID ✅ The full Setup Guide (Google Doc) ✅ Download links (GitHub)
Disclaimer: This is early-stage beta research software—expect ~70% accuracy and some bugs. Not for medical use.
