Neuron

Neuroinformatics
Student Research Group

Wrocław University of Science and Technology
Faculty of Computer Science and Telecommunications

We create the future wisely

ABOUT US

Our team consists of programmers and people interested in neuroinformatics. Our team works with brain-computer interfaces to collect information about brain activity for further processing. On their basis, we prepare artificial intelligence models and use them in the applications we create. We strive to implement interesting ideas using EEG and artificial intelligence.

PROJECTS

Neuroflashcard

This project gave rise to the Neuron group and is based on the possibility of using a brain-computer interface (BCI) in the language learning process. The created application allows the user to manage sets of flashcards and use the learning mode using BCI. During the study mode, the user reviews flashcards with an EEG device on their head, and based on the brain activity read, the AI model makes a prediction whether the user knew the flashcard. As part of the project, training data was collected and an artificial intelligence model was trained based on it. The results of the project are promising, as they confirm the possibility of using BCI in the process of learning and consolidating knowledge.

NEURORUN

NEURORUN is a platform game created in Unity, which uses a focus parameter calculated by the internal algorithms of the EEG band to control the game elements. The player must progress through the entire map, overcoming various obstacles along the way, taking turns trying to increase and decrease their focus level.

Mind Battle

Mind Battle is a two-player game in which players fight for control of an LED strip in an attempt to increase their focus – whoever is more focused wins. The game was made with the use of an Arduino microcontroller. The project was presented at DAS, DAWiT and BEST IT Festival and enjoyed great popularity.

Bore No More

Bore No More is an open, extensible framework that allows you to harness the power of BCI in applications built inside Unity. The team is currently working on classifiers for boredom, flow, and nervousness. The project can be used to adjust the difficulty level of games or during study sessions. Bore No More was awarded second place at the NTX Hackathon.

Neurocall

Neurocall is a research project for which we received a FAST grant from the Wrocław City Hall. Its aim was to investigate the possibility of controlling a mobile application using BCI. To do this, they tested the brain's response to 4 colors - green, yellow, blue and red. The created classifier was used to build an application that allows you to call one of the selected contacts based on the color the user is thinking about. The project was created for the elderly and people with disabilities.

BrainBoard

The Virtual Keyboard will allow users to communicate and interact by typing hands-free. The use of a brain-computer interface (BCI) in the project will allow the keyboard to be controlled based on the collected brain signals.

MindStride

The MindStride project focuses on exploring applications of Brain-Computer Interface (BCI) and Motor Imagery (MI) technologies. Our main goal is to develop the aspect of imagining movement. This will enable the practical application of our solution both in terms of entertainment and potentially improve the living conditions of people with disabilities.

Neurobeat

generates music based on brain waves. By analysing Alpha, Beta, Gamma and Teta wave readings, we want to provide a completely new experience based on EEG technology. With the help of an emotion recognition model, which will make you listen to different music depending on how you feel!

SPEECH-BCI

The SPEECH-BCI project aims to develop an "inner speech" classifier and decoder that will use the EEG signals collected by the BCI. The research will focus on the analysis of signals generated during the process of thinking without verbal expression.

Meditation Training

The Meditation Training app was created especially for people who are just starting their adventure with meditation. Meditation is not an easy activity and a lot of people give up after the first workout. By using the application, we are able to analyze the meditation status graph after the workout and assess whether the training was effective for us.

TEAM

Paweł Dzikiewicz

CEO

Undergraduate student of Applied Computer Science. Leader of the Bore No More and MindStride projects.

Dominika Serafin

CTO

Undergraduate student of Biomedical Engineering. Leader of the BrainBoard project.

Izabela Paniczek

CFO

Undergraduate student of Systems Engineering. Currently, she is a co-founder of the MindStride project.

Michał Kędziora, Ph.D.

Chief Supervisor

Chief maintainer of KN Neuron.

Katarzyna Białas, M.Sc.

Supervisor

Assistant supervisor of KN Neuron, PhD student at the Wrocław University of Science and Technology.

Michał Skrzypa, Eng.

Founding Father

Student of Artificial Intelligence II degree. Leader of the Lie Detector project.

Marta Kuchciak, Eng.

Founding Father

A student of Applied Computer Science.