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The easiest way to record and manage EEG data:

From no-code to full control

 

The IDUN GUARDIAN® comes packed with features

Webapp, Mobile Apps & TS SDK​

  • Record, store, and download EEG data as CSV files.
  • Test impedance and monitor device battery.
  • Generate sleep and daytime reports. (Download a sample)
  • View live EEG streams (raw and filtered).
  • Access preset experiments for quick setups.

For advanced users, the TS SDK gives you the building blocks to design your own apps

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Public

Python SDK & Public API

Advanced tools for developers and researchers to unlock the full potential of EEG data.

  • Record, store, and download EEG data as CSV files.
  • Test impedance and check device battery status.
  • Secure user authentication via API-Key.
  • Access real-time LSL streams for live data processing.
  • Get real-time inferences from raw EEG, IMU, and filtered data.

Perfect for seamless integration into custom workflows and applications.

Jaw-Clench | Eye-Movment | FFT

Our Real-Time Classifiers available with the premium subscription

Real-Time Classifiers

Powerful classifiers to analyze EEG data in real-time, unlocking new interaction possibilities:

  • Jaw-Clench: Detect jaw clench events instantly.
  • Eye Movement: Monitor left and right eye movements in real time.
  • FFT: Split the single-channel EEG into frequency bands for immediate analysis.

Fully accessible via the Python SDK and Public API for seamless integration into your applications.

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→ Want to have a look at the data? Check out our sample Dataset here

→ Need a Demo? Book a meeting with us here

Real-Time Predictions

Our Classifiers in Action

Say goodbye to physical controllers and embrace seamless, intuitive control with our classifiers. Utilizing subtle jaw clenching and precise eye movements, our earbuds empower developers to interact with devices and environments effortlessly.

Real-Time FFT

Visualize Real-Time Data and Predictions from the IDUN Guardian

This demo demonstrates how to build a real-time visualizer for EEG and IMU data streams and real-time predictions from the IDUN Guardian device.

 

Key Features:

  • Visualizing live EEG and IMU data streams

  • Visualizing real-time predictions (jaw clench, eye movements, FFT)

 

 --> Video & Tutorial

Eye-Tracking

Control Philips Hue Lights 

This demo demonstrates how to turn on/off Philips Hue lights by looking left and right.

 

Key Features:

  • Turn on and off Philips Hue lights by looking left and right.

  • Works seamlessly with our real-time classifier system to control Philips Hue state using brain power.

 

 --> Video & Tutorial

Jaw-Clench & Eye-Tracking

Hands-Free Spotify Control

This demo demonstrates how to control Spotify hands-free using jaw clench and eye movement detections with our real-time classifiers.

 

Key Features:

  • Play, pause, and navigate playlist on Spotify through simple, intuitive jaw and eye gestures.

  • Works seamlessly with our real-time classifier system for a hands-free music experience.

 

 --> Video & Tutorial

Accessible through our Python SDK

Classifier #1

Real-Time Jaw Clench 

Unleash new dimensions in user interaction with our Real-time Jaw Clench Classifier. This feature is designed for developers who need to incorporate unique, hands-free input methods into their applications, such as gaming or accessibility tools. By detecting jaw clenching, this classifier allows for intuitive user commands that are both simple and effective, enhancing the gaming experience or providing essential controls for accessibility technologies.

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Classifier #2

Real-Time Frequency Bands

Our Frequency Band Classifier simplifies the analysis of EEG data by segregating the signal into the distinct frequency bands of the brain in real time. This tool is invaluable for developers who need to understand or utilize the frequency characteristics of brain activity without delving into the complexities of raw EEG data. Whether for developing mental state monitoring applications or creating biofeedback systems, this classifier provides a straightforward foundation for custom algorithm development.

Classifier #3

Real-Time Eye-Movement

Our Eye-Movement Classifier offers a robust tool for developers to detect general eye movement. This classifier is ideal for applications such as monitoring sleep stages, particularly REM sleep, or integrating hands-free controls in various interfaces. Developers can leverage this technology to create custom algorithms that enhance user interactions or contribute to insightful sleep and health research. optimize performance and prevent cognitive overload. 

 

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Classifier #4

Real-Time Eye-Tracking:

Enhance your applications with precise directional input using our Eye-Tracking Classifier. This technology distinguishes between left and right eye movements, enabling developers to implement more nuanced control schemes in their projects. Ideal for navigation in virtual environments, accessibility applications, or any system where gaze direction can serve as a reliable input method.

Advantages of the IDUN Guardian over other EEG devices

Convenient

Can be used in the comfort of home.

Comfortable

Ergonomic design to provide comfort for all-day use.

Easy-to-use

Easy to put on in a plug-and-play manner.

The IDUN Guardian

One tool for all your brain-sensing needs

More Info