Engineering notes · Field reports · Releases
Signals leavea trace.
A living record of what PiEEG is building, testing, releasing, and learning across open hardware and software.
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Aura VR: Muscle and Motion, Streamed Live from the Wrist
Aura is a wristband for XR with four dry EMG contacts and a 6-axis IMU. Capture grip, pinch, flick, and wrist motion, then stream them into VR as they happen.
Read dispatchChronological archive
The work,
as it happened.
Product changes, technical experiments, and project milestones—kept in sequence instead of reduced to marketing highlights.

PiEEG XR Featured on UploadVR
UploadVR covers PiEEG XR as an innovative Quest 3 accessory that brings expressive avatar control through biosignals—without face tracking cameras.

Coin-Sized 16-Channel EEG: Brain Monitoring Goes Pocket-Size
We're testing a 16-channel EEG device no bigger than a coin—wireless, gel-free, and streaming directly to your mobile phone. Brain monitoring just became truly portable.

PiEEG XR: Neural Interface for Meta Quest VR
After years of prototyping, PiEEG XR transforms brain signals and facial micro-expressions into real-time avatar control for Meta Quest VR—no controllers needed.

Neuroscience Hackathon Announcement
Exciting news! We're planning a Neuroscience Hackathon this Autumn in Ottawa, Canada, focused on revolutionizing neuroscience through low-cost BCI and open-source software.

New Software for PiEEG Devices
Latest software updates bring enhanced signal processing, real-time analysis capabilities, and improved user interface for all PiEEG devices.

OpenClaw Connected to Brain via PiEEG
Researchers successfully demonstrate direct brain control of the OpenClaw robotic gripper using PiEEG's brain-computer interface technology.

3D Printable EEG Headset Design Released
Free, open-source 3D-printable EEG headset design now available. Print your own professional-grade electrode holder at home.

MicroBCI: STM32-Based Portable BCI Shield
Ultra-portable BCI development platform powered by STM32 microcontroller. Perfect for mobile and embedded BCI applications.

Deep Learning with Keras for EEG Signal Processing
Learn how to apply deep learning techniques to EEG data using Keras and TensorFlow. Complete tutorial with code examples and trained models.
Open record / Open source