Gelo VR headset with built-in BCI + SDK – BrainBit
Gelo VR headset with built-in BCI + SDK

Gelo VR headset with built-in BCI + SDK

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BrainBit's partner Gelo has developed Gelo Impulse VR device — a virtual reality headset with a built-in brain-computer interface (BCI) with a data reader and SDK for developers.

Key features:

  • The device allows viewing VR and video content while monitoring the electrical activity in the users’ brain
  • The received data contains information about alpha, beta, gamma brain waves, and also parameters of the users’ concentration and relaxation level
  • The interface can be also used as a controller for information input
  • SDK lets you create your own gaming BCI-content based on Unreal Engine 4 and interact with it via Android installed on the VR headset

The headset consists of:

  • Pico G2 4K wireless (VR headset) 
  • Brain-computer interface device with an amplifier and 7 dry electrodes to EEG in the parietal, central and occipital lobes from the brain

BCI-headset is consumer-friendly and comfortable to wear. It is a stand-alone device so there is no need for a separate PC or smartphone to use it.

About SDK:

Using our SDK you can create neuro-controlled video and gaming content on Unreal Engine 4 and run it on Gelo Impulse in VR without a separate PC or smartphone. 

  • It works with two BCI-paradigms — P300 and Neurofeedback
  • The system enables you to perform up to 8 different actions per unit of a digital image, while 99% of similar devices barely perform 2–3 actions
  • There are several demos, for example IQ tests in VR where you have to choose correct answer using concentration (P300 based)

Our software:

  • Allows to record raw EEG and resistance data
  • Supports LSL streaming
  • Supports EDF/BDF data conversion

Сlick here to take a look at an overview on the functionalities of our SDK and software. SDK gets updates and improvements.

Specifications:

  • Number of EEG channels: 9 (7 EEG + 1 Ground + 1 Referent)
  • Electrode placement: Fz, C3, Cz, C4, Pz, O1, O2
  • Connection to computers: wireless 2.4 GHz (Bluetooth)
  • Working frequency band of the amplifier: 0-80 Hz
  • Sampling frequency for each channel: 250 Hz
  • RMS value of the noise brought to the input: not more than 1.5 μV
  • Range of amplitudes of the measured signals: +/- 0.8 V
  • Bit ADC: 24
  • Resistance to electrostatic discharges: 8 kV
  • Uploaded data format: SYS
  • Operating systems: Android, Windows
  • Battery life: 8 hours

VR specs:

  • Display: 4K (3840 x 2160)
  • CPU: Qualcomm Snapdragon 835
  • Weight: 268g
  • Refresh rate: 90Hz
  • Storage: 32G
  • Bluetooth: 4.2
  • Battery life: 2 hours

Supported and used technologies:

  • Android 8.1 (Java) / BT LE 4.2 / USB
  • Python 3.7 (PYTORCH, NUMPY, SCIKIT-LEARN, PANDAS, PLOTLY / MATPLOTLIB / SEABORN)
  • С++ / ZERO MQ / LSL
  • Unreal Engine 4
  • Windows 10 X64

P300

Our classification algorithm’s accuracy is 99% and it is patented. 

Here is our research papers about the algorithm and P300 in VR-gaming: 

What's included:

  • Pico headset combined with EEG device with dry electrodes 
  • USB-C charging kit (with adapter)
  • SDK 

FEEL FREE to contact Gelo, if you have any questions: esu@gelo-bci.com