Eye Tracking Simulation Project

Team Members

Ashton Alonge
Anthony Colin Herrera
David Hernandez

Overview
This project is a simulation that visualizes real-time brain wave data using an Emotiv brain wave device. The application receives data from its source, processes it, and updates a graphical interface to reflect the brain wave data dynamically.

How It Works

Real-Time Data Visualization:
Brain wave data is visualized on a graphical interface as data points are received.

Data Sources:
The system supports receiving data via:

TCP connections
MQTT subscriptions

Centralized Data Management:
A Blackboard class acts as the central hub for storing and distributing the data to listeners.

Interactive UI:
The interface allows users to start and stop data reception and displays real-time brain wave data.

Project Structure

Data Management:

Classes that handle incoming data:
Blackboard Publisher TheSubscriber TheSubscriberMQTT Visualization: Classes for rendering brain wave data:

CanvasController TrackArea

Diagrams
UML
Architecture