BR41N.IO is organized by g.tec neurotechnology Austria.
BR41N.IO is a brainstorming and collaborative marathon designed to be a learning experience for developers, technologists, engineers, students, artists, and scientists who cram and build brain-computer interface (BCI) applications together in teams.
Anyone can participate who has interests in BMI, BCI, robotics, AR, VR, machine learning, computing, sensors, human-machine interface systems, control, signal processing, big data, haptics, rehabilitation, and similar areas.
Participants do not have to be a BMI expert to participate on a team! Interdisciplinary teams with a combination of BMI and non-BMI skills are often successful in building solutions and producing working prototypes.
Professional teams can also participate to develop applications during the BR41N.IO Designers' Hackathon to demonstrate full potential of some of the sponsored hardware/software.
If you are looking for additional skills from other team members, your project will be included among the BR41N.IO projects below for application. Submit your project to contact@br41n.io.
Be creative, think outside the box. The BR41N.IO Designers' Hackathon is fun and gets you to network and collaborate with other Geeks. The best BR41N.IO projects will be awarded with cash prizes:
Do you have a Unicorn Hybrid Black at home or at your University/Institution? Great! Let's put together a team of students and participate with the Unicorn at the virtual BR41N.IO Hackathon.
11:00 CEST | Optimizing non-invasive brain-computer interface systems for free communication between naive human participants David R. Painter, The University of Queensland (AU) |
12:00 CEST | Unicorn Brain Interface demonstration Martin Walchshofer, g.tec medical engineering (AT) |
13:00 CEST | Start BR41N.IO & team formation Christoph Guger (AT), Abdelkader N. Belkacem (EA) |
16:00 CEST | Neurotechnology project around the world Yannick Roy, NeuroTechX (CA) |
11:00 CEST |
Towards natural BCI interaction: A case study |
13:00 CEST | End BR41N.IO Hackathon |
14:00 CEST | Project presentations |
16:00 CEST | Meeting Hackathon Jury |
16:30 CEST | BR41N.IO Ceremony |
g.tec's Summer School is the educational forerunner of the Virtual BR41N.IO Hackathon. Therefore, it's highly beneficial if you join the Summer School from June 29 until July 1, 2020. Once you acquired all the knowledge from the Summer School, you are perfectly prepared to compete with your fellows at the BR41N.IO Hackathon competition and create your own BCI applications!
There are several predefined projects which you can choose to work on. Below, the projects are described in detail including hard- and software requirements. The Unicorn Hybrid Black and the Unicorn Suite should be used to realize BR41N.IO projects. But, you can use your own hardware and software for the BR41N.IO hackathon.
We will connect you with the team members of your project. Create your own virtual meeting space using Skype, Google Hangouts, Zoom, etc. to start working on your ideas.
While you work on your groundbreaking new BCI applications, we are here to answer all the questions that might come up and support you wherever we can.
You will be invited to present your results virtually via Zoom. Prepare yourself to explain what you did, what the results are and to show a demonstration (live or with a video) to the international audience.
g.tec neurotechnology GmbH
Schiedlberg, Austria
United Arab Emirates University
Abu Dhabi, United Arab Emirates
*In order to participate you need the required software and hardware or you can visit one of the on-site locations.
The Unicorn Brain Interface comes with the Unicorn Speller application that is using P300 paradigm to control electronic devices such as lamps, radios or television. Watch the video Unicorn Speller Smart Home.
soft-/hardware: Unicorn Hybrid Black, Unicorn Speller, electronic devices
participants: 2 groups, 3-5 people per group
skills: basic programming skills (Matlab, Simulink)
It is possible to control a 3D printed orthosis using a Unicorn Hybrid Black with motor imagery. It is possible to move an orthosis by thinking about left or right hand motion. Watch the Orthosis Control video.
soft-/hardware: Unicorn Hybrid Black, Unicorn Speller, bring your own orthosis or use Unity instead
participants: 2 groups, 3-5 people per group
Skills: Basic programming skills (Matlab, Simulink), basic graphics programming skills with Unity
Create a Unity based game that can be used for rehabilitation purposes.
soft-/hardware: Unicorn Hybrid Black, Unity
participants: 4 groups, 3-5 people per group
Skills: Basic programming skills (Matlab, Simulink), Basic graphics programming with Unity
If you want to create a Dream Painting, you have to wear a Unicorn Brain Interface while you sleep. When you wake up, you are able to create a picture based on EEG signals.
soft-/hardware: Unicorn Hybrid Black, Unicorn Painting
participants: 2 groups, 3-5 people per group
skills: Basic programming skills (Matlab, Simulink)
The team can use fNIRS (functional near-infrared spectroscopy) and EEG simultaneously to control BCI applications.
soft-/hardware: g.Nautilus fNIRS
participants: 1 group, 3-5 people per group
skills: Basic programming skills (Matlab, Simulink)
Create your own Unity game that can be controlled with a brain-computer interface.
soft-/hardware: Unicorn Hybrid Black, Unicorn Suite, Unity
participants: 4 groups, 3-5 people per group
Skills: Basic programming skills (Matlab, Simulink), Basic graphics programming with Unity
The Unicorn Hybrid Black offers the Unicorn Speller application that allows you to control a robotic ball called Sphero. Watch the video Unicorn Sphero.
soft-/hardware: Unicorn Hybrid Black, Unicorn Sphero, Sphero robot
participants: 2 groups, 3-5 people per group
skills: Basic programming skills (C#)
The Unicorn Hybrid Black comes with the Unicorn Speller which allows you to fly your own drone with the brain only.
soft-/hardware: Unicorn Hybrid Black, Unicorn Speller, bring your own drone or use Unity instead
participants: 2 groups, 3-5 people per group
skills: Basic programming skills (Java)
You are invited to create your own programming project for this hackathon. You'll have all the BCI headsets or you bring your own BCI to design and program your own fully functional headset.
soft-/hardware specifications: Unicorn Hybrid Black, tbd
participants: 2 groups, 3-5 people per group
skills: Basic programming skills
**no hardware required.
Analyze a motor imagery BCI data-set from a chronic stroke patient in order to optimize pre-processing, feature extraction and classification algorithms. Compare your results with state-of-the-art algorithms.
soft-/hardware: MATLAB or other signal processing platform that is able to read in the MATLAB matrix
participants: 3 groups, 3-5 people per group
skills: signal processing skills
Analyze a visual P300 BCI data-set from a healthy person in order to optimize pre-processing, feature extraction and classification algorithms. Compare your results with state-of-the-art algorithms.
soft-/hardware: MATLAB or other signal processing platform that is able to read in the MATLAB matrix
participants: 3 groups, 3-5 people per group
skills: signal processing skills
Analyze a vibro-tactile P300 BCI data-set from a patient with disorders of consciousness in order to optimize pre-processing, feature extraction and classification algorithms. Compare your results with state-of-the-art algorithms.
soft-/hardware: MATLAB or other signal processing platform that is able to read in the MATLAB matrix
participants: 3 groups, 3-5 people per group
skills: signal processing skills
Analyze an SSVEP BCI data-set from a healthy person in order to optimize pre-processing, feature extraction and classification algorithms. Compare your results with state-of-the-art algorithms.
soft-/hardware: MATLAB or other signal processing platform that is able to read in the MATLAB matrix
participants: 3 groups, 3-5 people per groupskills: signal processing skills
Analyze a vibro-tactile P300 BCI data-set from a patient with locked-in syndrom in order to optimize pre-processing, feature extraction and classification algorithms. Compare your results with state-of-the-art algorithms.
soft-/hardware: MATLAB or other signal processing platform that is able to read in the MATLAB matrix
participants: 3 groups, 3-5 people per group
skills: signal processing skills
Analyze an ECoG BCI data-set from an epilepsy person in order to optimize pre-processing, feature extraction and classification algorithms. Compare your results with state-of-the-art algorithms.
soft-/hardware: MATLAB or other signal processing platform that is able to read in the MATLAB matrix
participants: 3 groups, 3-5 people per group
skills: signal processing skills