#top "top"
Bari, Italy

 

VIRTUAL BR41N.IO
HACKATHON

Spring School 2022*

‌‌‌‌‌‌‌‌‌ April 30 - May 1, 2022 

 

*BR41N.IO and Spring School 2022 are part of g.tec's Teaching Plan 2022 with more than 140 hours of online courses and lectures.

#winner "winner"

1st PLACE WINNER OF PROGRAMMING PROJECTS

Brain't - A Dream Painting Project 

Team members: Esther Senneker, Valentina Gambo, Andreas Knoben, Beyza Nur Çay, Gwendolyn van der Bie, Ninon Lizé Masclef

Project Description: Selecting words based on the most active brain region to feed into an AI algorithm to create paintings

 

#video-1 "video-1"

2nd PLACE WINNER OF PROGRAMMING PROJECTS

BrainLexa - A Smarthome Project

Team members: Mohamed Lakas, Marwan Lakas, Adel Merabet, Marwan Sidani

Project Description: Turning Unicorn Hybrid Black Speller outputs into voice commands for Amazon Alexa to control the Smarthome

 

#winner "winner"

3rd PLACE WINNER OF PROGRAMMING PROJECTS

Brain(i)hacs - A Focus Project 

Team members: Anita Vrins, Caterina Ceccato, Ethel Pruss, Jos Prinsen

Project Description: Tracking brain activity to calculate the EEG engagement index and visualize the attention level

 

#video-1 "video-1"

1st PLACE WINNER OF DATA ANALYSIS PROJECTS

PyEPosers - An ECoG Hand Pose Data Analysis Project 

Team members: Shreya Kapoor, Stepan Shabalin, Maria Goni, Christophe Blanc, Kanjar De, Vibha Gupta, Raijkumar Saini

Project Description: Comparing multiple classification approaches to find the ideal feature selection

 

#winner "winner"

2nd PLACE WINNER OF DATA ANALYSIS PROJECTS

Making CSP Great Again - A Stroke Rehab Data Analysis Project 

Team members: João Araújo, Monika Tutaj, Sonal Baberwal, Kate Gornostal

Project Description: Improving classification accuracy results for a motor imagery task using common spatial pattern 

 

#video-1 "video-1"

3rd PLACE WINNER OF DATA ANALYSIS PROJECTS

ECoGlove - An ECoG Hand Pose Data Analysis

Team members: Tellache Mohamed Mounir, Sai Tanimoto, Hideaki Kurashiki, Carl Xing, Reuben Cook, Zack Zhang, Benny Li, Mitch O'Gady

Project Description: Reducing load of real-time interfaces by using independent components and optimizing machine learning techniques

 

#jury "jury"

JURY

 

Image

Christoph Guger (AT)
g.tec medical engineering GmbH

 

Image

Dean Krusienski (US)
Virginia Commonwealth University

 

Image

Luis Emilio Bruni (DK)
Associate Professor, Aalborg University

 

Image

Abdelkader N. Belkacem (AE)
United Arab Emirates University

 

Image

Natalie Mrachacz-Kersting (DE)
Albert-Ludwigs University Freiburg

 

Image

Gabriel Pires (PT)
Institute of Systems and Robotics, University of Coimbra & Polytechnic Institute of Tomar

 

 

Image

Milena Korostenskaja (US)
 Florida Hospital for Children

 

#schedule "schedule"

SCHEDULE

Time Zone: GMT Vienna

 

Saturday April 30, 2022

9:00 Introduction to BR41N.IO – A hackathon series by g.tec medical engineering
Christoph Guger, g.tec medical engineering GmbH  (AT)
9:30 Unicorn - The Brain Interface: Demo
Martin Walchshofer, g.tec medical engineering (AT)
10:30 Motor Imagery, P300, SSVEP and ECoG data-sets
Johannes Grünwald, Rupert Ortner, g.tec medical engineering (AT)
12:00 Start BR41N.IO & team formation
Christoph Guger (AT), Arianna Di Bernardo (IT), Enrico Sansone (IT), Abdelkader N. Belkacem (EA), Gabriel Pires (PT), Luis Emilio Bruni (DK), Hossein Dini (DK), Cosmin Bonchis (RO), Ferat Sahin (US), Maryam Alimardani (NL), Eden Redman (CA)
  All night hacking
   

Sunday May 1, 2022

  All night hacking
9.00 Ethics of neurotechnology and brain-computer interfaces
Nikita Lukianets, OpenEthics, Nice (FR)
13:00 End BR41N.IO Hackathon
13:00

NeuroTechX - The International
NeuroTech Community

Karthik Raghavendran, Montreal (CA)

14:00 Project presentations
18:00 BR41N.IO Ceremony
Default Image

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.
 

#locations "locations"

HOSTING INSTITUTIONS

 

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.

TILBURG UNIVERSITY

Department of Cognitive Science & AI
Prof. Maryam Alimardani

Tilburg, Netherlands

AALBORG UNIVERSITY

MeCIS Media Cognition & Interactive Systems
Prof. Luis Emilio Bruni & Hossein Dini

København , Denmark

AALBORG UNIVERSITY

Augmented Cognition Lab
Prof. Luis Emilio Bruni & Hossein Dini

København , Denmark

G.TEC
AUSTRIA

g.tec medical engineering GmbH
Dr. Christoph Guger

Schiedlberg, Austria

UAE UNIVERSITY
ABU DHABI

  United Arab Emirates University
  Prof. Abdelkader N. Belkacem

  Abu Dhabi, United Arab Emirates

MLJC
ITALY

Machine Learning Journal Club
Arianna Di Bernardo, Enrico Sansone
Turin, Italy

DIGITALE MANUFAKTUR

Medienwerkstatt Collective
Mariana Carranza
Coburg, Germany

SIMON FRASER UNIVERSITY

School of Engineering Science, Communication Networks Laboratory, Prof. Ljiljana Trajkovic
Vancouver, Canada

UNIVERSITY OF COIMBRA

Institute for Systems & Robotics (ISR) & CIBIT
Prof. Gabriel Pires, Prof.  Miguel Castelo-Branco
Coimbra, Portugal

WEST UNIVERSITY TIMISOARA

Faculty of Mathematics and Computer Science. Prof. Cosmin Bonchis
Timisoara, Romania

ROCHESTER INSTITUTE OF TECHNOLOGY

NSF AWARE-AI NRT Program and Electrical & Microelectronics Engineering Dpt.
Prof. Ferat Sahin
Rochester New York, USA

NEURALBERTA
TECH

NatFlat @ University of Alberta
Mr. Eden Redman
Edmonton, Canada

#projects "projects"

PROGRAMMING PROJECTS*

*These projects require a Unicorn Hybrid Black or a BCI system. 
 

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: 2 groups, 5-8 people per group
skills: basic programming skills (Matlab, Simulink)

Registration

 

Unity Rehab

Create a Unity based game that can be used for rehabilitation purposes.

soft-/hardware: Unicorn Hybrid Black, Unity
participants: 3 groups, 5-8 people per group
Skills: Basic programming skills (Matlab, Simulink), Basic graphics programming with Unity

Registration

 

‌‌ 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 groups, 5-8 people per group
Skills: Basic programming skills (Matlab, Simulink), Basic graphics programming with Unity

Registration

 

</> Alien AI

According to an audience's emotional input and the Alien AI behavior - multi-screen human-made and AI-Generated films on multi-screen projections changes.

soft-/hardware specifications: Unicorn Hybrid Black or Naked BCI, g.Pangolin
participants: 1 group, 5-7 people
skills: Basic programming skills (Simulink, C#, maxMSP), projection mapping, sound engineers, emotion recognition, tensorflow

Registration

 

‌‌ Virtual Book

Read a book with a brain-computer interface.

soft-/hardware: Unicorn Hybrid Black, Unicorn Suite
participants: 1 group, 5-8 people per group
Skills: Basic programming skills

Registration

 

‌‌ Theta Search

Look for theta activity in the frontal lobe.

soft-/hardware: Unicorn Hybrid Black, Unicorn Suite
participants: 1 group, 5-8 people per group
Skills: Basic programming skills

Registration

 

‌‌ 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: 2 groups, 5-8 people per group
skills: Basic programming skills (Matlab, Simulink)

Registration

 

‌‌‌ 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: 1 group, 5-8 people per group
skills: Basic programming skills (Matlab, Simulink)

Registration

 

Sense & Stimulate the Brain

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: Unicorn Hybrid Black, Brain Stimulator
participants: 1 group, 3-5 people per group
skills: Basic programming skills (Matlab, Simulink, C#)

Registration

 

‌‌ Play An Instrument

Use a brain-computer interface to play a virtual instrument like an imaginary piano.

soft-/hardware: Unicorn Hybrid Black, Unicorn Suite
participants: 1 group, 5-8 people per group
Skills: Basic programming skills

Registration

 

‌‌ Art Installation

Influencing an art installation by auditory and visual stimulation.

soft-/hardware: Unicorn Hybrid Black, Unicorn Suite
participants: 1 group, 8-10 people per group
Skills: Basic programming skills

Registration

 

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: 2 groups, 5-8 people per group
skills: Basic programming skills

Registration

 

‌‌ 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: 2 groups, 5-8 people per group
skills: Basic programming skills (C#)

Registration

 

‌‌‌‌ 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: 2 groups, 5-8 people per group
Skills: Basic programming skills (Matlab, Simulink), basic graphics programming skills with Unity

Registration ‌‌

 

‌‌ 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: 2 groups, 5-8 people per group
skills: Basic programming skills (Java)

Registration

 

‌‌ Smartphone

Control the apps on your smartphone with a  brain-computer interface.

soft-/hardware: Unicorn Hybrid Black, Unicorn Suite
participants: 1 group, 5-8 people per group
skills: Basic programming skills

Registration

 

‌‌ Bosten Dynamics Spot

Control the Boston Dynamics Spot using Motor Imagery.

soft-/hardware: g.Nautilus
participants: 1 group, 5-8 people per group
Skills: Basic programming skills

Registration

 

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 groups, 3-5 people per group
skills: signal processing skills

Registration ‌‌‌

 

‌‌ 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

Registration ‌‌

 

‌‌‌ 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 groups, 3-5 people per group
skills: signal processing skills

Registration

 

‌‌‌ 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 group
skills: signal processing skills

Registration

 

‌‌‌ 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 groups, 3-5 people per group
skills: signal processing skills

Registration

 

‌‌‌ 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

Registration ‌‌

 

ARTISTIC PROJECTS

 

‌‌ Unicorn Painting

Create images according to your brain activity that you measure with the Unicorn Brain Interface.

soft-/hardware: Unicorn Hybrid Black, Unicorn Speller (includes Painting add-on)
participants: 3-5 people per group

Registration ‌‌

 

Design Unicorn Brain Interface with 3D Printers

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: Unicorn Naked BCI, 3D software
participants: 2 groups, 3-5 people per group
Skills: Basic CAD

Registration ‌‌

 

Design Unicorn Brain Interface with Sewing Machines

Give the Unicorn Brain Interface a new, fashionable look.

soft-/hardware: Unicorn Naked BCI, sewing machines, fabrics and craftiing material
participants: 2 groups, 3-5 people per group

Registration ‌‌

 

#Sponsors "Sponsors"

SPONSORS

 

Join the IEEE community of more than 400,000 technology and engineering professionals united by a common desire to continuously learn, interact, collaborate, and innovate!

JOIN IEEE