Refining EEG and fNIRS data for analysis, while our Machine Learning Department classifies this data into real-time control signals using advanced models in our BCI project.
Create a custom EEG device for a brain-computer interface, involving tasks like PCB design, managing electrical signals, and microcontroller programming.
Establishing an authentic club identity for social media, maintaining contact with partners and sponsors, organizing public educational events.
Our team works on designing and implementing a brain-computer interface to participate at the ETH Cybathlon 2024. This includes designing experiments to collect EEG data and provide feedback to the pilot, process the neuronal signals and classify the signals with state-of-the-art machine learning algorithms.
We specialize in research and development of emerging computing technologies, drawing inspiration from the brain.
We're designing and building a custom Electroencephalogram. This device is a key component of a brain-computer interface, which allows the collection of neuronal data.
Join us in leading the scientific engagement, events, and online presence of the club. As a foundation to the other groups stands the operations team, which manages internal processes, finances, IT, and legal matters, driving strategic development for neuroTUM's optimal growth.
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