Team members: Alexey Timchenko, Alexander Kovalev, Kalimullin Ruslan
Project description: Predicting coordinates of the fingers based on ECoG signal.
Team members: Khalil Alblooshi, Ahmed Sheimy, Mohammed Abduljabbar
Project Description: The team used the Unicorn Speller to make a humanoid robot talk.
Team members: Anita Vrins, Caterina Ceccato, Ethel Pruss, Jos Prinsen
Project Description: The team used P300 to navigate and complete tasks in a virtual home
Universities who are proud owners of the Unicorn Education Kit automatically qualify as hosting institution. Official hosting institutions are fully embedded in The BCI & Neurotechnology Spring School and, of course the BR41N.IO Designers' Hackathons. Boost your institution’s visibility and awareness and benefit from a big audience.
Hosting institutions provide on-site access to EEG devices and brain-computer interface technology that you would need for programming projects. Just let us know at which hosting institition you would like to participate during the BR41N.IO Hackathon.
Department of Cognitive Science & AI
Prof. Maryam Alimardani
Tilburg, Netherlands
MeCIS Media Cognition & Interactive Systems
Prof. Luis Emilio Bruni & Hossein Dini
København , Denmark
Augmented Cognition Lab
Prof. Luis Emilio Bruni & Hossein Dini
København , Denmark
g.tec medical engineering GmbH
Dr. Christoph Guger
Schiedlberg, Austria
United Arab Emirates University
Prof. Abdelkader N. Belkacem
Abu Dhabi, United Arab Emirates
Machine Learning Journal Club
Arianna Di Bernardo, Enrico Sansone
Turin, Italy
Medienwerkstatt Collective
Mariana Carranza
Coburg, Germany
School of Engineering Science
Communication Networks Laboratory
Vancouver, Canada
Electrical and Microelectronics Engineering Department and NeuroTechnology Exploration (NXT) Club
Prof. Ferat Sahin
Rochester New York, USA
Time Zone: Vienna CEST Central European Summer Time (UTC+02:00)
10:00–10:30 | Welcome |
10:30–11:00 |
Current and Future Applications of Christoph Guger, g.tec medical engineering |
11:00–11:30 |
How to run a Real-Time BCI Application Leo Schreiner, g.tec medical engineering |
11:30–12:00 |
Unicorn Brain Interface Demonstration Leo Schreiner, g.tec medical engineering |
12:00–12:20 |
LSL and NeuroPype Tools and BCI Applications Tim Mullen, Intheon |
12:20-12:40 |
Data Analysis Projects |
12:40-13:00 |
Group formation and START BR41N.IO Christoph Guger, g.tec medical engineering |
15:00-15:30 |
BCIs for Replacement and Restoration of Lost Motor Function in Patient Populations Natalie Mrachacz-Kersting, Albert-Ludwigs Universität Freiburg, Germany |
16:00-17:00 | Panel: BMIs |
18:00–18:30 |
More than Play: Challenges and Benefits Driving BCI for Kids Eli Kinney-Lang |
18:30-19:00 | VFC Project: An Adaptive BCI Cinema Experience Charles S. Roy, Antoine Bellemare Pépin, Yann Harel, Felipe Almeida |
19:00 | BR41N.IO HACKING |
6:00 | START BR41N.IO |
10:00-10:30 |
Passive BCIs for Enhancement and Learning with Technology Maryam Alimardani, Tilburg University |
13:00–13:30 |
NeuroTechX - The International NeuroTech Community Yannick Roy, NeuroTechX |
14:00 | END BR41N.IO |
15:00–17:00 | BR41N.IO Project Presentations |
17:00–17:30 | Meeting Hackathon Jury |
17:30–18:00 |
BR41N.IO Winners Ceremony Ljiljana Trajkovic, IEEE Director and SMC Award Chair |
13:00–13:45 |
Injectable and Wearable Neural Interfaces Douglas J. Weber, Carnegie Mellon University, USA |
14:00–17:00 |
BCI Award 2021 Presentations & Ceremony
|
Brain-computer interfaces are realized by 4 different principles:
In the BR41N.IO Hackathon Series, motor imagery and EP based systems
are mostly used to control the applications:
In the case of the motor imagery application, participants have to imagine e.g. left or right hand movement to produce an event-related desynchronization over the sensorimotor cortex. This is basically an amplitude change of the alpha and beta regions of the EEG.
In the case of EPs, the BCI system is showing different flashing icons and the user has to attend to the icon he wants to select. When the icon flashes on the computer screen, than a P300 wave is produced in the brain and the BCI system is able to detect it.
*These projects require a Unicorn Hybrid Black, a Unicorn Naked BCI (available at hosting institutions) or use your own BCI system.
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, domestic electronic devices
participants: 2 groups, 3-5 people per group
skills: basic programming skills (Matlab, Simulink)
Create a Unity based game that can be used for rehabilitation purposes.
soft-/hardware: Unicorn Hybrid Black, Unicorn Naked BCI, Unity
participants: 4 groups, 3-5 people per group
Skills: Basic programming skills (Matlab, Simulink), Basic graphics programming with Unity
Create your own Unity game that can be controlled with a brain-computer interface.
soft-/hardware: Unicorn Hybrid Black, Unicorn Naked BCI, Unity
participants: 4 groups, 3-5 people per group
Skills: Basic programming skills (Matlab, Simulink), Basic graphics programming with Unity
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, Unicorn Naked BCI, EEG device
participants: 2 groups, 3-5 people per group
skills: Basic programming skills
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 Speller
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)
Stimulate the brain with tDCS to increase or mental performance and measure brain activity with EEG at the same time with the Unicorn Hybrid Black environment.
soft-/hardware specifications: g.tec's Brain Stimulator, your own tDCS device
participants: 1 groups, 3-5 people per group
skills: Basic programming skills (Matlab, Simulink, C#)
Control a digital animation and create a sound space with brain impulses, using the Unicorn Hybrid Black for EEG data acquisition.
Animation and sound space will be part of a site installation open to the public.
soft-/hardware specifications: Unicorn Hybrid Black, Unicorn Naked BCI, Processing, Ableton, Sonic Pi (or own Digital Audio with link possibility)
participants: 3 groups, 3-5 people per group
programming skills: Python, Java, BrainFlow API, UDP
audio & visual programming skills: Processing, Digital Audio, Parikel System
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 Speller, Sphero robot
participants: 2 groups, 3-5 people per group
skills: Basic programming skills (C#)
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
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)
*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
*these projects require sewing machines, 3D printers, painting or crafting materials.
Create images according to your brain activity that you measure with the Unicorn Brain Interface.
soft-/hardware: Unicorn Hybrid Black, Unicorn Painting
participants: 2 groups, 3-5 people per group
Expand the Unicorn Brain Interface with your own 3D printed parts. Let them move, light, hold things or simply look nice. Watch the video 3D Headset Design.
soft-/hardware: 3D printer, 3D freeware
participants: 2 groups, 3-5 people per group
Skills: Basic CAD
Give the Unicorn Brain Interface a new, fashionable look.
soft-/hardware: Sewing machines, fabrics and handicraft material
participants: 10 people
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