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OpenBCI

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(Redirected from Galea)
OpenBCI
Basic Info
Type Input Device
Subtype Brain-computer interface
Creator Joel Murphy, Conor Russomanno
Developer OpenBCI
Website https://openbci.com/
Versions Cyton, Cyton + Daisy, Ganglion, Ultracortex Mark IV, Galea
Device
Sensors EEG, EMG, ECG, EOG (Cyton and Ganglion boards); EEG, EOG, EMG, EDA, PPG and eye tracking (Galea)

OpenBCI is a neurotechnology company based in Brooklyn, New York, that makes open-source hardware and software for biosensing and brain-computer interfaces. It was started by Joel Murphy and Conor Russomanno, and its first product was funded through a Kickstarter campaign that ran from December 2013 to January 2014.[1][2] Its boards (the 8-channel Cyton and the 4-channel Ganglion) record EEG, EMG and ECG signals, and its 3D-printable Ultracortex headset holds the electrodes on the scalp.[3][4]

The company's link to VR and mixed reality is Galea, a sensor headset announced in November 2020 that combines EEG, electrooculography (EOG), EMG, electrodermal activity (EDA) and photoplethysmography (PPG) sensors with a head-mounted display.[5][6] Early development involved Valve and Tobii. From 2022 OpenBCI sold Galea beta units built into Varjo headsets, first the Varjo Aero and later the Varjo XR-3.[7][8][9]

Reviewed 13 October 2026. Kickstarter figures and dates (archived campaign pages), founding story (IEEE Spectrum), Cyton, Ganglion, Daisy and Ultracortex specs against OpenBCI documentation, current and archived store prices, Galea history against OpenBCI, Varjo, Pupil Labs and Road to VR announcements (2020-2025), and Galea specs against the brochure and galea.co. About review dates.

History

Origins and first Kickstarter

Murphy and Russomanno met at Parsons The New School for Design, where Russomanno was a student in Murphy's physical computing class. According to IEEE Spectrum, the project began in 2011 when Russomanno wanted to hack an EEG toy made by Mattel and found it unreliable and closed. The pair then worked with engineer Chip Audette of the New Hampshire firm Creare, who already held a DARPA grant to develop a low-cost, high-quality EEG system for nontraditional users, and together they built a prototype.[2] Audette, who wrote the EEG Hacker blog, described receiving an early "V3" board in August 2014. It came with a choice of an 8-bit ATmega 328 or a 32-bit PIC32 microcontroller, used the ADS1299 EEG chip for the biosignals, and streamed data over a built-in Bluetooth module, with an SD card for logging.[10]

The first Kickstarter campaign, "OpenBCI: An Open Source Brain-Computer Interface For Makers", launched on 11 December 2013 and closed on 22 January 2014. It raised US$215,438 from 947 backers against a goal of US$100,000.[1] IEEE Spectrum reported that production took longer than expected and shipping was pushed back by several months.[2] In a 2014 interview, Russomanno said many customers were students, graduate researchers and professors using the hardware as a learning tool, and that the founders had built an online community where users share tutorials and projects.[11] The company's own press boilerplate says it has been creating open-source tools for biosensing and neuroscience since 2014.[8]

Ganglion and Ultracortex Mark IV (2015)

A second Kickstarter campaign, "OpenBCI: Biosensing for Everybody", ran from 3 November to 18 December 2015 and raised US$168,829 from 644 backers against a goal of US$80,000. It introduced the 4-channel Ganglion board, described as a US$99 biodata acquisition device, and the 3D-printed Ultracortex Mark IV headset, with its hardware rewards estimated for delivery in July 2016. An update posted after the campaign said it had also passed a US$160,000 stretch goal for a tDCS shield.[4] Make: reported that the Ganglion replaced the ADS1299 used on the 32-bit board (US$36 at quantity) with a converter costing about US$6, and quoted Russomanno on the goal of making the platform "approachable by a passionate high schooler or undergraduate."[12]

Galea and mixed reality (2020 to present)

OpenBCI announced Galea on 19 November 2020 and invited interested users to sign up for news of a Galea Beta Program.[5] The Varjo partnership followed in May 2022, a mixed reality version for the Varjo XR-3 in January 2023, and a wireless version with Pupil Labs' Neon eye tracker in October 2025 (see Galea below).[8][9][13] At TED2023 in April 2023, Russomanno gave the talk "A powerful new neurotech tool for augmenting your mind", during which Christian Bayerlein flew a drone on stage using a biosensing headset.[14] OpenBCI's NeuroFly documentation says the drone demo used EMG data, read through the OpenBCI GUI, to drive a muscle-controlled joystick.[15]

At the Slush conference in Helsinki on 1 December 2023, Russomanno and Joseph Artuso, the company's president and chief commercial officer, showed the Galea Beta device publicly for the first time and described a longer-term plan called "Galea Unlimited": an integrated wearable computer combining optics, processor, input/output and sensors in one synchronized system, with wireless sensor "coins" that could be added around the body.[16] In the October 2025 Pupil Labs announcement, Russomanno was named as CEO and founder.[13]

Timeline

Date Event
11 December 2013 to 22 January 2014 First Kickstarter campaign raises US$215,438[1]
3 November to 18 December 2015 Second Kickstarter (Ganglion and Ultracortex Mark IV) raises US$168,829[4]
19 November 2020 Galea announced[5]
31 May 2022 Partnership with Varjo; Galea beta pre-orders open with the Varjo Aero[8]
June 2022 Galea wins the AWE Auggie Award for Best Interaction Product[17]
4 January 2023 Mixed reality version of Galea with the Varjo XR-3 announced at CES[9]
January 2023 Two CES 2023 Innovation Awards for Galea[18]
April 2023 TED2023 talk with a drone flown by Christian Bayerlein[14]
1 December 2023 Galea Beta shown publicly at Slush 2023; "Galea Unlimited" plan outlined[16]
1 October 2025 Galea Neon, with the Pupil Labs Neon eye tracker, announced as shipping[13]

Products

Biosensing boards

The Cyton is OpenBCI's main 8-channel board. OpenBCI's documentation lists a PIC32MX250F128B microcontroller with a chipKIT UDB32-MX2-DIP bootloader, an ADS1299 analog front end, a LIS3DH 3-axis accelerometer, an RFduino Bluetooth Low Energy radio, a micro SD card slot and voltage regulation at 3.3V, +2.5V and -2.5V. It is powered only by a 3-6V DC battery. The board is an octagon measuring 2.41 by 2.41 inches (1-inch edges) with 1/16-inch mounting holes 0.8 by 2.166 inches apart on center. The documentation gives a signal-to-noise ratio of 121 dB and a voltage resolution of 0.298 microvolt per bit (5V/16777216, a 24-bit converter).[19] The Cyton streams channel data at a default 250 Hz; OpenBCI notes that the ADS1299 supports faster rates, but the wireless link and serial connection may not keep up.[20] It connects to a computer through a USB dongle that carries its own RFduino radio and an FTDI USB-to-serial chip (FT231XQ-R). The optional Daisy module is a daughter card with a second ADS1299 that raises the channel count from 8 to 16.[19] OpenBCI says the Cyton can record EEG, EMG, ECG and EOG, and that its firmware can be reprogrammed through the dongle.[3][21]

The Ganglion is a smaller 4-channel board. Its documentation lists a Simblee BLE radio module (Arduino compatible), an MCP3912 analog front end, a LIS2DH 3-axis accelerometer, a micro SD card slot (marked as not supported), and a 3.3V to 12V DC battery input with a current draw of 14 mA when idle and 15 mA when connected and streaming. It shares the Cyton's 2.41-inch octagonal footprint and has a voltage resolution of 0.1788 microvolt per bit (3V/16777216).[22] The Ganglion samples at 200 Hz; because its Bluetooth link sends 20-byte packets at about 100 per second, it compresses samples to fit two into each packet.[23]

Ultracortex headset

The Ultracortex Mark IV is a 3D-printable EEG headset for the Cyton and Ganglion boards. OpenBCI publishes the frame files, so buyers can print the frame themselves or buy it unassembled or assembled. The frame has 35 electrode nodes, of which 8 or 16 are normally fitted depending on the board. Spiked dry electrodes go in nodes over hair and flat dry electrodes in nodes without hair, such as the forehead.[24] It comes in three sizes by head circumference: small (42-50 cm), medium (48-58 cm) and large (58-65 cm). OpenBCI says that once the electrode holders are adjusted, the headset can stream up to 16 channels of EEG in under 30 seconds.[25]

Prices

Product Earlier price Store price (October 2026)
Ganglion Board (4 channels) US$99 Kickstarter tier (2015)[4] US$624.99[26]
Cyton Biosensing Board (8 channels) US$499.99 (November 2017)[27] US$1,249.00[3]
Cyton + Daisy (16 channels) US$2,499.00[28]
Ultracortex Mark IV US$299.99 print-it-yourself, US$399.99 unassembled, US$599.99 fully assembled (pre-order, May 2016)[29] US$499.99 to US$1,399.99, depending on assembly and channel count[25]
Galea US$22,500 for an Aero kit, unofficial (2022)[30] US$42,980.00, with a request-a-quote option[31]

Accessories

Electrodes and cables are sold separately from the boards. The Cyton listing names the Ultracortex Mark IV, an electrode cap, a headband kit, gold cup electrodes, EMG/ECG snap electrode cables and a header-pin-to-touch-proof electrode adapter as compatible accessories.[3] In October 2026 the store also listed Ten20 conductive paste, Kendall EMG/ECG foam solid gel electrodes, the Pulse Sensor heart-rate monitor, dry EEG comb electrodes, the Open-cEEGrid around-the-ear electrode kit and the third-party EmotiBit wearable sensor.[32]

Software

The OpenBCI GUI is the company's free, open-source program for visualizing, recording and streaming data from the Cyton, Cyton + Daisy and Ganglion boards. It can display data live or play it back, save it as CSV or BDF+ files, and stream it to third-party software such as MATLAB. It runs as a standalone application or as a sketch in Processing, a Java-based language, on Windows, macOS and Linux.[33] Before version 5.0 the GUI used a Node.js Electron app as middleware. From version 5.0 it uses BrainFlow, a C++ library with bindings for languages including Python, C# and Java, which OpenBCI recommends for developers integrating its boards into their own programs.[34] Board firmware can be updated or customized, and OpenBCI publishes its board schematics and PCB files.[21][19]

OpenBCI's documentation lists MATLAB, Neuromore, OpenViBE, Lab Streaming Layer (LSL), BrainBay and BioEra as compatible third-party software.[35] Community members have also published their own projects. One example is AlphaWave, a 2016 demo by a community member: the 32-bit board processed alpha-wave data onboard and sent it over Bluetooth to companion Android and iOS apps.[36]

Galea

Galea is OpenBCI's sensor headset for virtual and mixed reality. OpenBCI describes it as a hardware and software platform that merges brain-computer interface technology with head-mounted displays, and as the first headset to measure the user's heart, skin, muscles, eyes and brain at the same time.[8][9]

Announcement and the Valve and Tobii period

OpenBCI announced Galea on 19 November 2020 as a device integrating EEG, EMG, EDA, PPG and eye tracking into one headset. It said the hardware would be built into existing AR and VR head-mounted displays, with SDKs to bring time-locked biometric data into 3D engines and common programming languages. The company said Galea drew on its six years of experience and more than two years of work by its engineers and designers. A first batch of devices was planned for select partners in a Galea Beta Program.[5] Road to VR reported that researchers and developers could use it to measure "human emotions and facial expressions" and states such as happiness, anxiety, attention span and interest level, and quoted Russomanno calling Galea "the realization of six years of research and development."[6]

In January 2021 Valve co-founder Gabe Newell told 1 News that Valve was working with OpenBCI on brain-computer interface technology. In February 2021 Tobii confirmed it was a partner, saying Galea would combine its eye tracking with design elements from the Valve Index. Developer kits for beta partners were then expected in early 2022.[7] When the Varjo deal was announced in May 2022, Road to VR noted that it was unclear whether the Valve partnership would continue.[30] In December 2023 Artuso said feedback from "our early partners at Valve and AFRL" had been instrumental in Galea Beta's development.[16]

Varjo Aero and XR-3 versions

On 31 May 2022 OpenBCI and Varjo announced that Galea beta systems would come built into the Varjo Aero. The units included SDKs for accessing the sensor data in Unity, Python and other development environments. Pre-orders opened first to the applicants already in the Galea Beta Program, with any remaining units to be offered to the public from 1 July 2022.[8] Varjo co-founder and CTO Urho Konttori said the integration would give Galea users "the most immersive VR experience available on the market today."[8] Road to VR reported that Galea's sensors were built into the Aero's head strap. It also reported, from a screenshot obtained by tech analyst Brad Lynch, an apparent price of US$22,500 for the Aero and Galea kit, with shipping in five batches starting from an earliest estimated date of August 2023.[30] In June 2022 Galea won the Augmented World Expo Auggie Award for Best Interaction Product, the same year the Aero won Best Headworn Device.[17]

At the Consumer Electronics Show on 4 January 2023, OpenBCI announced a mixed reality version for the Varjo XR-3, aimed at uses that rely on the XR-3's low-latency pass-through, depth awareness and integrated hand tracking. Artuso said gaming and entertainment customers had focused on VR, while "automotive, aviation, training, and industrial use-cases" had focused on combining the biosensor data with mixed reality. Beta units could be ordered with either headset, and the sensors could also be used without the head-mounted display in real-world settings. The fifth and final batch of the beta program closed on 15 February 2023, and shipping was then estimated to begin in the third quarter of 2023.[9] Galea won two CES 2023 Innovation Awards, in the Virtual & Augmented Reality and the Wearable Technologies categories. It had earlier won a Unity Aerospace & Defense award.[18]

When OpenBCI showed the Galea Beta device publicly at Slush in December 2023, it gave a shipping estimate of the second quarter of 2024. It said the device used Varjo displays and eye tracking and could either run without the headset or be tethered to a high-powered PC for VR and XR data collection.[16] OpenBCI's online store also resells unlocked Varjo XR-3 headsets, listed at US$4,990.00 in October 2026.[37]

Galea Neon

On 1 October 2025 OpenBCI and Pupil Labs announced a combination of Galea and Pupil Labs' Neon mobile eye tracker. The companies called it the first untethered, all-in-one brain, body and eye tracking headset. Removing the VR headset lenses turns Galea into a self-contained mobile unit, so researchers can move between VR, XR, screen-based and real-world experiments with the same equipment while keeping eye tracking outside VR. The announcement said Galea with Neon was shipping.[13][38] The Neon add-on, which includes a custom faceplate for any Galea Beta headset, is sold separately from the Galea headset and was listed at US$10,900.00.[39]

Sensors and software

Item Galea specification
EEG 10 channels of dry, active electrodes on the scalp[40]
EOG 2 channels[40]
EXG 2 channels[40]
EMG 4 facial channels[40]
PPG Ear clip sensor with red and infrared channels[40][41]
EDA Forehead sensor[40]
Motion 6-axis IMU and 3-axis magnetometer[41]
Eye tracking Varjo image-based eye tracking (200 Hz); Pupil Labs Neon as an add-on[41][39]
Headsets Varjo Aero (VR) or Varjo XR-3 (AR/VR); removable for use without a headset[40][41]
Power and data Battery powered; Wi-Fi data transfer to a connected PC[40]
Software Galea SDK built on BrainFlow (Python, C++, Java, C#, with support for Julia, MATLAB and R); Unity and Unreal Engine SDK; streaming over LSL, UDP and OSC[41]

The brochure says Galea uses only dry sensors, with conductive polymers and adjustment mechanisms meant to fit different head sizes and shapes.[40]

Availability

In 2026 OpenBCI ran a Galea Discovery Program offering selected research labs discounted access to Galea; the application deadline for its spring 2026 cohort was 7 March 2026.[41] In October 2026 the OpenBCI online store listed Galea at US$42,980.00 and directed buyers to the Galea site for technical specifications and quotes.[31]

XR work

Before Galea, OpenBCI's hardware was not made for VR headsets. In May 2016 the Voices of VR podcast noted that neither OpenBCI nor other off-the-shelf neural devices were compatible with VR headsets. In the episode Russomanno argued that VR and AR were making it more socially acceptable to wear hardware on the head, and host Kent Bye summarized his view that EMG signals such as facial micro-expressions were more reliable than EEG for real-time control. Russomanno also described placing EEG data in context with other biometric information, such as eye tracking, heart rate, heart rate variability and respiration.[42] Galea came out of the same idea: at its announcement, OpenBCI said community members had already been building integrations between its products and head-mounted displays.[5]

OpenBCI says interest in the Galea Beta Program has come from consumer technology, healthcare, research, training, and gaming and interactive media.[8] Artuso later listed gaming, entertainment, aviation, simulation and training, and human factors engineering for automotive and other industrial uses.[16] In March 2023 the company said it had demonstrated Galea for Microsoft Research.[43] At Slush 2023 Russomanno said that "Users need to be firmly in control of the keys to their own mental vault," and that OpenBCI was committed to user control over personal data.[16]

See also

References

  1. ↑ 1.0 1.1 1.2 Joel Murphy, Conor Russomanno. "OpenBCI: An Open Source Brain-Computer Interface For Makers". Kickstarter. https://www.kickstarter.com/projects/openbci/openbci-an-open-source-brain-computer-interface-fo. Retrieved 2026-10-13.
  2. ↑ 2.0 2.1 2.2 Eliza Strickland (2014-08-11). "Building Mind-Controlled Gadgets Just Got Easier". IEEE Spectrum. https://spectrum.ieee.org/building-mindcontrolled-gadgets-just-got-easier. Retrieved 2026-10-13.
  3. ↑ 3.0 3.1 3.2 3.3 "Cyton Biosensing Board (8-channels)". OpenBCI Online Store. https://shop.openbci.com/products/cyton-biosensing-board-8-channel. Retrieved 2026-10-13.
  4. ↑ 4.0 4.1 4.2 4.3 Joel Murphy, Conor Russomanno. "OpenBCI: Biosensing for Everybody". Kickstarter. https://www.kickstarter.com/projects/openbci/openbci-biosensing-for-everybody. Retrieved 2026-10-13.
  5. ↑ 5.0 5.1 5.2 5.3 5.4 "Introducing: Galea". OpenBCI. 2020-11-19. https://openbci.com/community/introducing-galea-bci-hmd-biosensing/. Retrieved 2026-10-13.
  6. ↑ 6.0 6.1 Scott Hayden (2020-11-25). "OpenBCI Announces Brain-Computer Interface Designed Specifically for VR/AR Headsets". Road to VR. https://www.roadtovr.com/openbci-brain-computer-interface-ar-vr-galea/. Retrieved 2026-10-13.
  7. ↑ 7.0 7.1 Scott Hayden (2021-02-05). "Valve, OpenBCI & Tobii to Launch VR Brain-computer Interface 'Galea' in Early 2022". Road to VR. https://roadtovr.com/valve-openbci-immersive-vr-games/. Retrieved 2026-10-13.
  8. ↑ 8.0 8.1 8.2 8.3 8.4 8.5 8.6 8.7 "OpenBCI and Varjo Partner to Bring Neurotechnology to Spatial Computing". OpenBCI. 2022-05-31. https://openbci.com/community/galea-openbci-and-varjo-partner-to-bring-neurotechnology-to-spatial-computing/. Retrieved 2026-10-13.
  9. ↑ 9.0 9.1 9.2 9.3 9.4 "OpenBCI Announces Galea Compatibility with Varjo XR-3, Bringing Neurotechnology to Mixed Reality". OpenBCI. 2023-01-04. https://openbci.com/community/openbci-announces-galea-compatibility-with-varjo-xr-3-bringing-neurotechnology-to-mixed-reality/. Retrieved 2026-10-13.
  10. ↑ Chip Audette (2014-08-18). "First Data with OpenBCI V3". EEG Hacker. http://eeghacker.blogspot.com/2014/08/first-data-with-openbci-v3.html. Retrieved 2026-10-13.
  11. ↑ Corrina Underwood (2014-09-08). "Open Brain-Computer Interface: An Interview with Conor Russomanno". Robohub. https://robohub.org/open-brain-computer-interface-an-interview-with-conor-russomanno/. Retrieved 2026-10-13.
  12. ↑ David Scheltema (2015-11-03). "OpenBCI Launches New, Hackable Brain Computer Interface". Make:. https://makezine.com/2015/11/03/openbci-launches-new-hackable-brain-computer-interface/. Retrieved 2026-10-13.
  13. ↑ 13.0 13.1 13.2 13.3 "OpenBCI and Pupil Labs Announce Launch of Untethered, All-in-One Brain, Body, and Eye Tracking Headset". OpenBCI. 2025-10-01. https://openbci.com/community/openbci-and-pupil-labs-partnership-galea-neon/. Retrieved 2026-10-13.
  14. ↑ 14.0 14.1 Conor Russomanno (2023-04). "A powerful new neurotech tool for augmenting your mind". TED. https://www.ted.com/talks/conor_russomanno_a_powerful_new_neurotech_tool_for_augmenting_your_mind. Retrieved 2026-10-13.
  15. ↑ "NeuroFly Toolkit". OpenBCI Documentation. https://docs.openbci.com/Software/OpenBCISoftware/NeuroFly_Toolkit/. Retrieved 2026-10-13.
  16. ↑ 16.0 16.1 16.2 16.3 16.4 16.5 "OpenBCI unveils vision for wearable, neuro-powered personal computer at Slush 2023". OpenBCI. 2023-12-01. https://openbci.com/community/openbci-unveils-vision-for-wearable-neuro-powered-personal-computer-at-slush-2023/. Retrieved 2026-10-13.
  17. ↑ 17.0 17.1 "OpenBCI's Galea Wins the Auggie Award for Best Interaction Product at AWE 2022". OpenBCI. 2022-06-13. https://openbci.com/community/openbcis-galea-wins-the-auggie-award-for-best-interaction-product-at-awe-2022/. Retrieved 2026-10-13.
  18. ↑ 18.0 18.1 "OpenBCI's Galea Wins Big at CES 2023". OpenBCI. 2023-01-11. https://openbci.com/community/openbcis-galea-wins-big-at-ces-2023/. Retrieved 2026-10-13.
  19. ↑ 19.0 19.1 19.2 "Cyton Specs". OpenBCI Documentation. https://docs.openbci.com/Cyton/CytonSpecs/. Retrieved 2026-10-13.
  20. ↑ "Cyton Data Format". OpenBCI Documentation. https://docs.openbci.com/Cyton/CytonDataFormat/. Retrieved 2026-10-13.
  21. ↑ 21.0 21.1 "Cyton Board". OpenBCI Documentation. https://docs.openbci.com/Cyton/CytonLanding/. Retrieved 2026-10-13.
  22. ↑ "Ganglion Specs". OpenBCI Documentation. https://docs.openbci.com/Ganglion/GanglionSpecs/. Retrieved 2026-10-13.
  23. ↑ "Ganglion Data Format". OpenBCI Documentation. https://docs.openbci.com/Ganglion/GanglionDataFormat/. Retrieved 2026-10-13.
  24. ↑ "Ultracortex Mark IV". OpenBCI Documentation. https://docs.openbci.com/AddOns/Headwear/MarkIV/. Retrieved 2026-10-13.
  25. ↑ 25.0 25.1 "Ultracortex "Mark IV" EEG Headset". OpenBCI Online Store. https://shop.openbci.com/products/ultracortex-mark-iv. Retrieved 2026-10-13.
  26. ↑ "Ganglion Board (4-channels)". OpenBCI Online Store. https://shop.openbci.com/products/ganglion-board. Retrieved 2026-10-13.
  27. ↑ "Cyton Biosensing Board (8-channels) (archived 25 November 2017)". OpenBCI Online Store. 2017-11-25. https://web.archive.org/web/20171125101104/https://shop.openbci.com/products/cyton-biosensing-board-8-channel. Retrieved 2026-10-13.
  28. ↑ "Cyton + Daisy Biosensing Boards (16-Channels)". OpenBCI Online Store. https://shop.openbci.com/products/cyton-daisy-biosensing-boards-16-channel. Retrieved 2026-10-13.
  29. ↑ "Ultracortex (Mark IV) EEG Headset Kit (archived 2 May 2016)". OpenBCI Online Store. 2016-05-02. https://web.archive.org/web/20160502001506/http://shop.openbci.com/products/ultracortex-mark-iv. Retrieved 2026-10-13.
  30. ↑ 30.0 30.1 30.2 Scott Hayden (2022-05-31). "Varjo's Enthusiast Grade VR Headset is Getting a Brain-computer Interface (and it's not cheap)". Road to VR. https://www.roadtovr.com/varjos-aero-open-brain-computer-bci/. Retrieved 2026-10-13.
  31. ↑ 31.0 31.1 "Galea". OpenBCI Online Store. https://shop.openbci.com/products/galea. Retrieved 2026-10-13.
  32. ↑ "All products". OpenBCI Online Store. https://shop.openbci.com/collections/all. Retrieved 2026-10-13.
  33. ↑ "The OpenBCI GUI". OpenBCI Documentation. https://docs.openbci.com/Software/OpenBCISoftware/GUIDocs/. Retrieved 2026-10-13.
  34. ↑ "Software Development". OpenBCI Documentation. https://docs.openbci.com/ForDevelopers/SoftwareDevelopment/. Retrieved 2026-10-13.
  35. ↑ "Compatible Software". OpenBCI Documentation. https://docs.openbci.com/Software/SoftwareLanding/. Retrieved 2026-10-13.
  36. ↑ "AlphaWave - OpenBCI-based Demo". OpenBCI Community. 2016-04-16. https://openbci.com/community/alphawave-openbci-based-demo/. Retrieved 2026-10-13.
  37. ↑ "Varjo XR-3 Headset (UNLOCKED)". OpenBCI Online Store. https://shop.openbci.com/products/varjo-xr3. Retrieved 2026-10-13.
  38. ↑ "OpenBCI and Pupil Labs Announce Launch of Wireless, All-in-One Brain, Body, and Eye Tracking Headset". Pupil Labs. 2025-10-01. https://pupil-labs.com/blog/openbci-and-pupil-labs-announce-launch-of-wireless-all-in-one-brain-body-and-eye-tracking-headset. Retrieved 2026-10-13.
  39. ↑ 39.0 39.1 "Galea Neon Eye Tracking Add-On". OpenBCI Online Store. https://shop.openbci.com/products/galea-beta-standalone-eye-tracking-add-on. Retrieved 2026-10-13.
  40. ↑ 40.0 40.1 40.2 40.3 40.4 40.5 40.6 40.7 40.8 "Galea: The Bridge Between Mixed Reality and Neurotechnology (brochure)". OpenBCI. 2024. https://openbci.com/content/galea-brochure.pdf. Retrieved 2026-10-13.
  41. ↑ 41.0 41.1 41.2 41.3 41.4 41.5 "Galea". OpenBCI. https://galea.co/. Retrieved 2026-10-13.
  42. ↑ Kent Bye (2016-05-19). "#365: Democratizing Neuroscience with OpenBCI & Adapting VR Content with Biofeedback". Voices of VR. https://voicesofvr.com/365-democratizing-neuroscience-with-openbci-adapting-vr-content-with-biofeedback/. Retrieved 2026-10-13.
  43. ↑ "OpenBCI Team's March Update". OpenBCI. 2023-03-09. https://openbci.com/community/openbci-teams-march-update/. Retrieved 2026-10-13.
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