nexus combines EEG acquisition, signal processing, machine-learning inference and interface logic in one real-time system. Participants experience a simulated hiring process in which neural data is analysed and translated into an automated assessment.
I designed and developed the complete interaction and system logic connecting real-time EEG signals with machine-learning inference and responsive interface behaviour. This included defining the signal-processing pipeline, mapping model outputs to interaction states, developing the real-time visualization logic and integrating the individual layers into a coherent interactive system.
nexus
Real-time BCI system
In Cooperation with
Partner
Exhibited at
Ars Electronica
Featured in
Next-gen EEG system.
Live EEG
Real-time neural signal acquisition and processing.
EEGNet inference
Experimental machine-learning classification of EEG data.
Decision logic
Model output is translated directly into the interface outcome.
From neural signal to interface decision.
A real-time pipeline connects EEG acquisition, signal processing, machine-learning inference and interface logic. Neural activity is streamed from the headset, segmented and processed before being passed to an experimental EEGNet-based classifier. Its output is then translated through a decision layer and surfaced directly in the interactive interface.
01
Simulated interview
02
EEG recording
03
Real-time inference
04
Automated decision
BCI systems can support adaptive, assistive and experimental interfaces.
The same real-time pipeline can connect neural signals to different models, decision layers and interfaces. This makes it relevant as a prototyping framework for emerging forms of brain–computer interaction.
When neural data becomes part of automated decision-making, privacy is no longer limited to what we choose to reveal.
nexus uses hiring as a high-stakes scenario to examine the implications of neural inference. Who owns brain data? What should organisations be allowed to infer from it? How much trust should be placed in probabilistic model outputs? And what happens to individual agency when biological signals become part of machine-led decisions?
The prototype moved from an experimental BCI system into public discussion around neurotechnology, autonomy and cognitive privacy.
nexus was presented at Ars Electronica Festival and MANIFEST:IO, bringing the technical prototype into public contexts where visitors could directly experience the implications of neural data becoming part of automated decision-making.
Venue
Location
(2024-26©)
