8-channel wearable EEG headset
Are you a neuroscientist, engineer, artist or programmer? Explore the world of brain signals and brain-computer interfaces with Unicorn Hybrid Black: an 8-channel wireless EEG headset, hybrid electrodes for wet and dry recording, electrode positions optimised for motor imagery, P300, SSVEP and VEP, and a complete development ecosystem with the Unicorn Suite software, APIs, example projects and learning resources.
For a motor-imagery BCI the electrodes sit over the sensorimotor cortex, and a device is controlled by mental tasks such as imagining a hand or arm movement. For P300 paradigms the electrodes sit over central, parietal and occipital sites, and event-related potentials carry communication and control. With SSVEP and code-based VEP, high-accuracy BCI applications are built on visual stimuli.
Unicorn Hybrid Black measures neural activity with 8 EEG electrodes for control by mental commands. Combined with a VR headset such as Oculus or HTC, it builds an interactive virtual environment controlled by thought in real time.
Unicorn hybrid EEG electrodes are made of a conductive material that records dry or with gel. Dry recording gives a quick, practical set-up; conductive gel can be applied for higher performance. The reference and ground electrodes are fixed over the mastoid bones for stable, accurate measurement.
The Unicorn LED Bow holds 8 LEDs controlled through the Unicorn APIs: setting a digital output high turns an LED on, setting it low turns it off. For art installations, interactive projects and visual feedback in BCI applications.
24-bit ADC resolution and a high oversampling rate raise the signal-to-noise ratio for the best digitisation. A light, high-capacity Li-ion battery records for up to 3 hours and charges over USB.
Unicorn Suite includes Unicorn Recorder for EEG recording and raw data access, Unicorn Bandpower for real-time brainwave analysis, the Concentration Performance Index, Brain Buddy, Platformer and Puzzle applications, and the Unicorn C and .NET APIs. It supports teaching, rapid prototyping and collaboration with open-source communities.
Build your own applications from the example code and projects on GitHub and contribute to the community. .NET and C APIs for Windows and Linux, Raspberry Pi integration examples, direct Bluetooth communication, Unity integration and guides to passing BCI commands to other applications; an Android API in Java; and command-line applications compiled for macOS, Linux and Windows. The projects offered at BR41N.IO hackathons are on GitHub too; according to g.tec, teams there build working BCI applications within 24 hours. Python, C, .NET, Android, Unity, Simulink, LSL and UDP interfaces are supported.
Unicorn Naked BCI is Unicorn Hybrid Black without the headset: high-performance hardware and open-source tools to build your own EEG headset and BCI applications within hours. For developers, artists and makers, from simple signal display to device design, art installations and games, with full access to raw EEG data and the APIs.
Electromagnetic interference can distort EEG and make much of a recording unusable. The components of Unicorn Hybrid Black and Unicorn Naked BCI are EMC-tested and meet international standards. They are designed on eco-friendly manufacturing principles and comply with the RoHS Directive; g.tec's offices run on 100% renewable energy.
In a validation study at Michigan State University, Unicorn Hybrid Black gave reliable EEG measurements for frequency analysis while allowing flexible recordings outside the lab.
With a P300-based system, two users controlled a robot and a drone together.
Seven brain-controlled commands reached an average online control accuracy of 93.12%.
A real-time P300 BCI reached up to 100% ranking accuracy in specific image-ranking tasks.
EEG-based engagement was estimated in real time across different tasks with about 90% classification accuracy.
This presentation introduces Unicorn Hybrid Black and Unicorn Headband and their uses in cognitive neuroscience, neurofeedback training and many other fields.
g.tec's demonstration of Unicorn Hybrid Black and Unicorn Headband.
Real-time EEG while walking, jumping, doing push-ups, handstands and backflips: OSCAR LIVE corrects movement artefacts in real time. OSCAR LIVE is included in g.HIsys Professional; its offline version, OSCAR PRO, is in g.BSanalyze Professional.
g.tec's OSCAR LIVE video.
EEG experiments in horses add to our understanding of brain function across species and move comparative neuroscience forward.
g.tec's animal EEG experiment with Unicorn Hybrid Black.
Yes. Unicorn Hybrid Black has been validated and used in many peer-reviewed studies in neuroscience, brain-computer interfaces, cognitive monitoring, robot control, machine learning, neuromarketing and human-computer interaction.
Most users start recording EEG within minutes with the Unicorn Recorder application and begin building applications the same day.
No. Unicorn Hybrid Black is used by beginners and experienced developers alike. The Unicorn ecosystem includes software, APIs, tutorials, example projects and documentation for a quick start.
Python, C, C#, .NET, Java (Android), Unity and MATLAB Simulink, through dedicated APIs.
Unicorn Hybrid Black is designed for BCI development and supports motor imagery, P300, SSVEP and VEP paradigms.
Yes. Real-time EEG acquisition, processing, visualisation and control are supported through the APIs, LSL and UDP.
Yes. It integrates with common development environments through APIs, Lab Streaming Layer (LSL), UDP and custom interfaces; the open APIs allow integration into desktop, mobile, web and research applications.
Visualisation, filtering, artefact reduction and real-time processing tools reduce the preprocessing effort.
Brain-computer interfaces, neurofeedback systems, brain-controlled games, VR applications, robot control, cognitive performance tools, machine learning projects, teaching platforms, assistive technologies and your own products.
Yes. Many users begin with EEG recording, neurofeedback or teaching projects and later move on to brain-computer interfaces, machine learning, virtual reality, robotics and commercial neurotechnology applications.
At the intersection of art, neuroscience and technology, Samuel Stubblefield’s Vitruvian Person project turns invisible neural activity into tangible sculptural form. g.tec’s Unicorn Hybrid Black EEG headset sits at the heart of this transformation.
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What happens when a dress moves with your brainwaves? In her third collaboration with g.tec, Anouk Wipprecht’s ScreenDress brings neurotechnology to the catwalk — and proves that the brain is not only a control centre but also a canvas.
Read the articleTalk to our team about device selection, protocol design, installation and software integration. We will work out the technical configuration that best fits your research or clinical goal.
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