Brain Computer Interface

Brain Computer Interface

Compute • Crypto

The project prototypes an end-to-end pipeline: capture, denoise, lightweight feature extraction, and protected transport/storage for research demos.

Highlights

  • Modular pipeline with swappable filters and models.
  • Latency-aware transport and local inference options.
  • Red-team checklist for data handling and consent.
  • Clear demo modes (offline, local, streamed).

Overview

The project prototypes an end-to-end pipeline: capture, denoise, lightweight feature extraction, and protected transport/storage for research demos.

Approach

Start with public datasets and lab captures; validate pipeline components; integrate security layers and demo UIs.

Results

Prototype pipeline runs in real-time on dev hardware; next: user-study demos with hardened privacy defaults.