ORCID

Jewell Norris: https://orcid.org/0009-0000-1369-7431

Creation Date

12-6-2025

Degree

Bachelor of Science (B.S.)

Major(s)

Computer Science

Document Type

Immediate Open Access

Abstract

OpenBCI is a low-cost, open-source platform for alternative brain-computer interface (BCI) software and hardware. This thesis evaluates OpenBCI’s electroencephalogram (EEG) and electromyography (EMG) capabilities by constructing and testing a 16-channel EEG system using the Ultracortex Mark IV headset and Cyton + Daisy biosensing board. The viability of the system was assessed through real-time BCI control and comparison to a clinical-grade EEG system. Real-time BCI control of an online falling-block game was tested via the use of eye blinks EMG (channels Fp1/Fp2) and head-tilt accelerometer inputs. The BCI game demonstrated reliable control despite minor latency and artifact sensitivity. For clinical comparison, a visual-evoked potential (VEP) paradigm, previously validated on an EMSE 64-channel system, was replicated using a Unity-based checkerboard stimulus presented on the Meta Quest 3. A custom preprocessing pipeline was needed to convert OpenBCI data to usable BDF/EVT formats for EMSE Suite analysis. Limitations included dry-electrode noise, reduced spatial resolution, export incompatibility, and hardware bulkiness. Overall, costing under $5000 (one-sixth of clinical equivalents) with minimal training required, the OpenBCI EEG system proved suitable for BCI and neuroscience research, highlighting solvable trade-offs in signal quality for gain in accessibility.

Date Defended

11-18-2025

Thesis Director

Dr. Adam Jones

Second Committee Member

Dr. Ed Swan

Third Committee Member

Dr. Anastasia Elder

Rights Statement

"Implementation and Assessment of the OpenBCI Platform as an Accessible Brain- Computer Interface", Copyright 2025 by Jewell Norris. My thesis may be used for non-profit educational and research purposes. Note that in addition to my own works of authorship, this thesis may contain and provide citations to third party content. If your use goes beyond fair use, you would need to contact those rights holders for additional licensing/permissions.

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Digital Object Identifier (DOI)

https://doi.org/10.54718/ENPW6872