Thought Quantification with a Single-Channel EEG BCI System

Files

Author

Michael Angelo De La Cruz Ortiz, Cleveland State University

Faculty Advisors

Eric M. Schearer

Description

BCI (Brain-Computer Interfaces) implement various aspects of brain activity monitoring and analysis technologies. EEG (electroencephalogram) has proven to be a viable way to safely probe electromagnetic brain activity through non-surgical means. However, these devices are not viable for everyday consumer use, specifically amongst people with disabilities. This project aims to develop a means of processing data to optimize the use of a single-channel EEG. For this purpose, the output of a mind flex headset by Mattel was processed to quantify six different thought commands (up, down, left, right, forward, backward) from one subject. The data was analyzed via a computational PCA (Principal Component Analysis) method to render scatter graphs. It was found that each thought created different patterns. Further analysis would be needed to further characterize the difference in patterns.

Publication Date

2024

College

Washkewicz College of Engineering

Department

Center for Human Machine Learning

Disciplines

Engineering

Recommended Citation

De La Cruz Ortiz, Michael Angelo, "Thought Quantification with a Single-Channel EEG BCI System" (2024). Undergraduate Research Posters 2024. 1.
https://engagedscholarship.csuohio.edu/u_poster_2024/1

Student Publication

This item is part of the McNair Scholars Program.