EEG Visualiser (Brainrave)

As Co-Founder of Brainrave, I helped create a system that fuses neuroscience and immersive entertainment.
The platform captures live EEG data and translates it into dynamic visuals inside Unity, combining shader-driven effects, particle systems, and 3D brain models with reactive audio visualisation.

At its core:

• EEG Integration – EEG signals are streamed via BrainFlow, processed in Python for smoothing, band-pass filtering, and normalisation.
• Rust Beat Detection – A custom Rust module analyses incoming audio streams, detecting beats and onsets in real time. These events are broadcast over UDP and synchronised with the EEG signal stream.
• Unity Visual Layer – Unity receives both EEG and beat signals, mapping them to VFX parameters such as particle emissions, shader morphing, colour shifts, and camera motion.
• Adaptive VFX System – A modular adapter system allows new visual behaviours to be added quickly, from subtle waveforms to full 3D transformations.

Why it matters

Brainrave isn’t just about visuals – it’s about connecting brain state, emotion, and music into one cohesive performance.
By linking a DJ’s live set with their neural data, the project creates an audience-facing visualisation of inner experience, reviving live engagement in a post-COVID landscape.

Key Features

• Real-time EEG-driven parameter mapping
• Rust-based tempo & beat tracking with millisecond accuracy
• UDP data bridge between neuroscience layer and Unity runtime
• Shader, particle, and mesh deformation effects driven by both brainwaves and audio
• Expandable VFX adapter framework for new creative behaviours
• Early prototypes designed for VR and large-scale LED wall installations

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This visualiser serves as the MVP for Brainrave, a project I co-founded, laying the groundwork for future iterations including AI-based EEG forecasting, smart-home neurointegration, and holographic displays.