Uploaded June 2026 | Updated September 2026, 1 day ago
BR41N.IO Hackathon 2026
What can a team build in just 24 hours using real-time EEG and Brain-Computer Interface (BCI) technology?
At the BR41N.IO BCI & Neurotechnology Hackathon, Team Quartz X developed a collection of interactive neurofeedback games designed to train and improve focus using real-time EEG data. Built with Unicorn Hybrid Black, Python, Lab Streaming Layer (LSL), and Pygame, the project demonstrates how Brain-Computer Interfaces can transform cognitive training into an engaging gaming experience.
The team addressed a common challenge: maintaining attention and concentration over extended periods of time. Their solution was a series of EEG-driven games that measure focus in real time and provide immediate feedback based on the player's cognitive state. Each game trains a different aspect of attention, from rapidly achieving focus to sustaining concentration over longer periods.
Using Unicorn Hybrid Black and real-time EEG streaming through LSL, the system continuously acquires and processes neural activity while the games adapt to the user's performance. One challenge the team successfully solved was connecting and streaming data from two Unicorn Hybrid Black devices simultaneously, enabling synchronized multi-user neurofeedback and demonstrating the flexibility of the Unicorn platform for advanced Brain-Computer Interface applications.
The games visualize concentration levels throughout gameplay, allowing users to track their focus over time and better understand their cognitive performance. By combining EEG, neurofeedback, gaming, and real-time processing, the project creates an engaging human-computer interaction experience that makes cognitive training accessible and measurable.
A major advantage of Unicorn Hybrid Black is that developers can immediately start building Brain-Computer Interface applications without spending valuable time on hardware integration, signal acquisition infrastructure, driver development, or data streaming solutions. With Unicorn Suite, Lab Streaming Layer compatibility, and a ready-to-use BCI platform, teams can focus entirely on innovation, application development, and rapid prototyping. This enables researchers, developers, and students to create advanced neurotechnology solutions in only 24 hours.
This project highlights the power of Brain-Computer Interfaces, EEG, neurofeedback, cognitive neuroscience, real-time neural decoding, attention training, human-computer interaction, and neurotechnology innovation. It demonstrates how Unicorn Hybrid Black enables rapid development of real-world BCI applications that combine gaming, cognitive assessment, and focus training.
More about Unicorn Hybrid Black: https://www.gtec.at/product/unicorn-hybrid-black-bci-platform
More about BR41N.IO: https://www.gtec.at/hackathon/
BR41N.IO Hackathon 2026
What can a team build in just 24 hours using real-time EEG and Brain-Computer Interface (BCI) technology?
At the BR41N.IO BCI & Neurotechnology Hackathon, Team Quartz X developed a collection of interactive neurofeedback games designed to train and improve focus using real-time EEG data. Built with Unicorn Hybrid Black, Python, Lab Streaming Layer (LSL), and Pygame, the project demonstrates how Brain-Computer Interfaces can transform cognitive training into an engaging gaming experience.
The team addressed a common challenge: maintaining attention and concentration over extended periods of time. Their solution was a series of EEG-driven games that measure focus in real time and provide immediate feedback based on the player's cognitive state. Each game trains a different aspect of attention, from rapidly achieving focus to sustaining concentration over longer periods.
Using Unicorn Hybrid Black and real-time EEG streaming through LSL, the system continuously acquires and processes neural activity while the games adapt to the user's performance. One challenge the team successfully solved was connecting and streaming data from two Unicorn Hybrid Black devices simultaneously, enabling synchronized multi-user neurofeedback and demonstrating the flexibility of the Unicorn platform for advanced Brain-Computer Interface applications.
The games visualize concentration levels throughout gameplay, allowing users to track their focus over time and better understand their cognitive performance. By combining EEG, neurofeedback, gaming, and real-time processing, the project creates an engaging human-computer interaction experience that makes cognitive training accessible and measurable.
A major advantage of Unicorn Hybrid Black is that developers can immediately start building Brain-Computer Interface applications without spending valuable time on hardware integration, signal acquisition infrastructure, driver development, or data streaming solutions. With Unicorn Suite, Lab Streaming Layer compatibility, and a ready-to-use BCI platform, teams can focus entirely on innovation, application development, and rapid prototyping. This enables researchers, developers, and students to create advanced neurotechnology solutions in only 24 hours.
This project highlights the power of Brain-Computer Interfaces, EEG, neurofeedback, cognitive neuroscience, real-time neural decoding, attention training, human-computer interaction, and neurotechnology innovation. It demonstrates how Unicorn Hybrid Black enables rapid development of real-world BCI applications that combine gaming, cognitive assessment, and focus training.
More about Unicorn Hybrid Black: https://www.gtec.at/product/unicorn-hybrid-black-bci-platform
More about BR41N.IO: https://www.gtec.at/hackathon/
