*BR41N.IO and Spring School 2021 are part of g.tec's Teaching Plan 2021 with more than 140 hours of online courses and lectures.
1st PLACE WINNER
Image reconstrucition using GAN technique from EEG signal!
Team members: Lavínia Mitiko Takarabe, Deepak Mewada, Hitendra Singh, Seyedeh Kimia Mousavi, Ardaq Merey, Manvi Jain
1st PLACE WINNER
NeuroBeat
Team members: Alicja Wicher, Joanna Maria Zalewska, Weronika Sójka, Ivo John Krystian Derezinski, Krzystof Tołpa, Lukasz Furman, Slawomir Duda
3rd PLACE WINNER
Multiplay
Team members: Artem Gazizov, Harshwardhan Saini, Nevena Niagolova, Vadim Juris, Karahan Yilmazer, Vladislav Samoilov
1st PLACE WINNER
Top-ECOG
Data Analysis: ECoG Hand-Pose
Team members: Gabriele Penna, Fabrizio Pittatore, Arianna Di Bernardo, Simone Poetto, Simone Azeglio
2nd PLACE WINNER
rECoGnise
Data Analysis: ECoG Hand-Pose
Team members: Lorena Santamaria, Joao Pereira, Emil Dmitruk, Bartosz Kochanski, Mammad Jamali, Omid Mahdizadeh, Vahid Akbari, Mikolaj Kegler
3rd PLACE WINNER
Towards P300 calibration-less single-trial classification
Data Analysis: P300 Speller
Team members: Eduardo Santamaría-Vázquez, Víctor Martínez-Cagigal, Sergio Pérez-Velasco, Diego Marcos-Martínez, Anjali Agarwal, Katherine Rojas
HACKATHON JURY
Christoph Guger (AT)
g.tec neurotechnology GmbH
Dean Krusienski (US)
Virginia Commonwealth University
Grace Rigdon (US)
IEEE Brain Initiative
Abdelkader N. Belkacem (AE)
United Arab Emirates University
Natalie Mrachacz-Kersting (DE)
Dortmund University of Applied Sciences and Arts
Milena Korostenskaja (US)
Florida Hospital for Children
BCI PRINCIPLES
Brain-computer interfaces are realized by 4 different principles:
slow waves
steady-state visual evoked potentials (SSVEP)
motor imagery (MI)
evoked potentials (EP)
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.
ON-SITE LOCATIONS
G.TEC AUSTRIA
g.tec neurotechnology GmbH
Schiedlberg, Austria
UAEU ABU DHABI
United Arab Emirates University
Abu Dhabi, United Arab Emirates
MLJC ITALY
Machine Learning Journal Club
Turin, Italy
PROGRAMMING PROJECTS
Unicorn Speller: Smart Home
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: 3-5 people per group
skills: basic programming skills (Matlab, Simulink)
Orthosis Control
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: 3-5 people per group
Skills: Basic programming skills (Matlab, Simulink), basic graphics programming skills with Unity
Unity Rehab
Create a Unity based game that can be used for rehabilitation purposes.
soft-/hardware: Unicorn Hybrid Black, Unity
participants: 3-5 people per group
Skills: Basic programming skills (Matlab, Simulink), Basic graphics programming with Unity
Dream Painting
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: 3-5 people per group
skills: Basic programming skills (Matlab, Simulink)
fNIRS and EEG Control
The team can use fNIRS (functional near-infrared spectroscopy) and EEG simultaneously to control BCI applications.
soft-/hardware: g.Nautilus fNIRS
participants: 3-5 people per group
skills: Basic programming skills (Matlab, Simulink)
Unity Games
Create your own Unity game that can be controlled with a brain-computer interface.
soft-/hardware: Unicorn Hybrid Black, Unicorn Suite, Unity
participants: 3-5 people per group
Skills: Basic programming skills (Matlab, Simulink), Basic graphics programming with Unity
Unicorn Sphero
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: 3-5 people per group
skills: Basic programming skills (C#)
Flight Control
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: 3-5 people per group
skills: Basic programming skills (Java)
Your Hacking Project
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: 3-5 people per group
skills: Basic programming skills
OFFLINE DATA ANALYSIS PROJECTS**
**no hardware required.
Stroke Rehab Data Analysis
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: 3-5 people per group
skills: signal processing skills
P300 Speller Data Analysis
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: 3-5 people per group
skills: signal processing skills
Unresponsive Wakefullness Syndrom Data Analysis
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: 3-5 people per group
skills: signal processing skills
SSVEP Data Analysis
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: 3-5 people per groupskills: signal processing skills
Locked-in Patient Data Analysis
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: 3-5 people per group
skills: signal processing skills
ECoG Hand Pose Data Analysis
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: 3-5 people per group
skills: signal processing skills