Brainwave Classifier

A simple system that detects certain eye movements to measure how quickly people react when they're distracted.

Brainwave Classifier image

Detecting eye movements and measuring reaction times

This setup uses a small sensor to pick up tiny signals tied to eye movements. It looks for left, right and eyebrow-raise signals to see how quickly someone notices something on screen while they are also doing a simple distraction task (for example, remembering a short list or solving an easy puzzle). A short video with sudden events is shown and the system records how long it takes for a person to react.

What it's for

How it works

The system records the sensor signals while showing video, finds moments that match eye movements, and lines them up with the video so we can measure the time between an on-screen event and a reaction.

What it includes

Signal collection tools

Simple tools to collect sensor signals and line them up with video.

Automatic detectors

Detectors that spot left, right and eyebrow-raise events in the data.

Session interface

A small control screen to run a session, show distractions and save results.

Privacy & safety

Recordings are made only with clear permission and stored without names. Results focus on overall behaviour and summary statistics rather than identifying any one person.

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