Background

Our team was tasked with developing neural interfaces for eye-tracking and external device control using EMG technique. This project was a unique opportunity for us to work on a full-stack project that involved both circuit design and coding. We were excited to take on this challenge and create something innovative.

Problem

The challenge we faced was creating a neural interface that could accurately track eye movements and control external devices using EMG technique. We needed to ensure that the interface was reliable, accurate, and user-friendly. Additionally, we had to consider the cost of production as well as the time it would take to develop the product.

Solution

We began by conducting extensive research on existing neural interfaces and EMG techniques. We then designed our own circuit board that incorporated these technologies. Our team worked closely together to ensure that the circuit board was optimized for accuracy, reliability, and ease of use.

Next, we developed software that would allow users to easily calibrate the device and customize its settings. The software also included advanced tracking algorithms that ensured accurate eye-tracking and external device control.

Impact

Increase in accuracy of eye-tracking by X%
Reduction in production costs by X%
Increase in user satisfaction by X%
X number of units sold within first year of release

Team

Jane Doe - Electrical Engineer
- Oversaw the design and development of the circuit board
John Smith - Software Engineer
- Oversaw the development of software for calibration, customization, and tracking algorithms
Amy Lee - Project Manager
- Oversaw project timeline, budgeting, and communication between team members
Mohammed Ali - Quality Assurance Engineer
- Oversaw testing procedures to ensure accuracy, reliability, and user-friendliness of the final product

Neural Interface Development for Eye-Tracking & EMG Control