Examples & Tutorials

Learn by
building & doing

Discover how PiEEG devices are transforming neuroscience research and brain-computer interface development across the globe.

Live Dashboard Experiences

Interactive BCI experiences built on PiEEG hardware. Click any card to explore its source code on GitHub.

Research Applications

Our open-source EEG platforms have been featured in 11+ peer-reviewed scientific papers and continue to enable cutting-edge research in cognitive neuroscience, brain-computer interfaces, affective computing, neurological disorder studies, and machine learning with EEG data.

Real-World Projects

Mind-Controlled Robotics

  • • Brain-controlled robotic arms using motor imagery
  • • EEG-driven wheelchair navigation
  • • Thought-controlled drones

Health & Wellness

  • • Real-time stress monitoring systems
  • • Meditation and focus tracking applications
  • • Sleep quality analysis tools

More Applications

Gaming & Entertainment

  • • Brain-controlled video games
  • • Neurofeedback training systems
  • • Interactive art installations

Education & Research

  • • University neuroscience labs (50+ institutions)
  • • Student research projects
  • • Hackathon prototypes

Media Features

PiEEG has been featured in 28+ media outlets and podcasts, including tech publications, neuroscience journals, educational platforms, and innovation showcases.

Browse our GitHub repositories for code examples, datasets, and tutorials. Join our Discord community to share your projects and get support from fellow developers and researchers.

Recommended Learning Path

New to biosignals? Start here

1

Install & Setup

Install pieeg-server, connect hardware, and stream your first signal

10 minutes
2

Signal Processing Basics

Learn filtering, FFT, and band power calculation

1 hour
3

Build Your First BCI

Alpha neurofeedback or basic gesture recognition

2-3 hours

Ready to build?

All examples include full source code, explanations, and troubleshooting tips.