How do we translate complex neural data into an accessible, human-readable interface without losing the fidelity of the original signal? This was the core question driving the design system.
This project represents a bridge between biological inputs and digital outputs. We engineered a custom WebGL visualization engine capable of rendering real-time data streams with minimal latency. The interface uses a stark, high-contrast aesthetic to ensure readability in variable lighting conditions.
The system architecture utilizes a decentralized state management flow, allowing for modular scalability. Every component was designed with motion physics in mind, creating a tactile feel that gives weight to digital interactions.