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IEEE SMC 2021

 

 

VIRTUAL BR41N.IO
HACKATHON

 

IEEE SMC 2021
‌‌‌‌‌‌‌‌‌October 17-18, 2021

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IEEE BRAIN WINNER

Salut - A ECoG Hand Pose Data Analysis Project

Team members: Alexey Timchenko, Alexander Kovalev, Kalimullin Ruslan

Project description: Predicting coordinates of the fingers based on ECoG signal.

 

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IEEE SMC WINNER

A motormouth brain - A Robot Control Project

Team members: Khalil Alblooshi, Ahmed Sheimy, Mohammed Abduljabbar

Project Description: The team used the Unicorn Speller to make a humanoid robot talk.

 

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INTHEON WINNER

Braini(h)acks - A Smart Home Project

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

 

#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
Vancouver, Canada

ROCHESTER INSTITUTE OF TECHNOLOGY

Electrical and Microelectronics Engineering Department and NeuroTechnology Exploration (NXT) Club
Prof. Ferat Sahin
Rochester New York, USA

#jury "jury"

JURY

 

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Christoph Guger (AT)

g.tec medical engineering GmbH

 

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Tiago H. Falk (CAN)

INRS-EMT

 

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Tim Mullen (US)

Intheon

 

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Michael Smith (US)

University of California, Berkeley
IEEE Brain

 

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Andi Partovi (AUS)

University of Melbourne

 

 

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Abdelkader Belkacem (UAE)

UAE University

 

 

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Ivan Volosyak (GER)

Hochschule Rhein Waal

#schedule "schedule"

SCHEDULE

Time Zone: Vienna CEST Central European Summer Time (UTC+02:00)

 

 Sunday, October 17

10:00–10:30 Welcome
10:30–11:00

Current and Future Applications of
Brain-Computer Interfaces

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

Christoph Kapeller, Rupert Ortner, g.tec medical engineering

12:40-13:00

Group formation and START BR41N.IO

Christoph Guger, g.tec medical engineering
Maryam Alimardani, Tilburg University
Luis Emilio Bruni, Aalborg University
Hossein Dini, Aalborg Universtiy
Arianna Di Bernardo, Enrico Sansone, MLJC
Abdelkader N. Belkacem, UA
Mariana Carranza, Medienwerkstatt

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

Monday, October 18

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
Michael Smith

Christoph Guger, g.tec medical engineering

 

Tuesday, October 19

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

 

 

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.
 

#projects "projects"

PROGRAMMING PROJECTS*

*These projects require a Unicorn Hybrid Black, a Unicorn Naked BCI (available at hosting institutions) or use your own 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, domestic electronic devices
participants: 2 groups, 3-5 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, Unicorn Naked BCI, Unity
participants: 4 groups, 3-5 people per group
Skills: Basic programming skills (Matlab, Simulink), Basic graphics programming with Unity

 

‌‌ Unity Games

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

 

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 BlackUnicorn Naked BCI, EEG device
participants: 2 groups, 3-5 people per group
skills: Basic programming skills

 

‌‌ 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 Speller
participants: 2 groups, 3-5 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, 3-5 people per group
skills: Basic programming skills (Matlab, Simulink)

 

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: g.tec's Brain Stimulator, your own tDCS device
participants: 1 groups, 3-5 people per group
skills: Basic programming skills (Matlab, Simulink, C#)

 

 swarm::swann

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

 

‌‌ 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 Speller, Sphero robot
participants: 2 groups, 3-5 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, 3-5 people per group
Skills: Basic programming skills (Matlab, Simulink), basic graphics programming skills with Unity

 

‌‌ 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, 3-5 people per group
skills: Basic programming skills (Java)

 

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

 

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

 

ARTISTIC PROJECTS*

*these projects require sewing machines, 3D printers, painting or crafting materials.

 

‌‌ Unicorn Painting

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

 

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: 3D printer, 3D freeware
participants: 2 groups, 3-5 people per group
Skills: Basic CAD

 

Design Unicorn Brain Interface with Sewing Machines

Give the Unicorn Brain Interface a new, fashionable look.

soft-/hardware: Sewing machines, fabrics and handicraft material
participants: 10 people

 

#Sponsors "Sponsors"

SPONSORS

 

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