Abstract
Brain-computer interface is a new bleeding-edge technology integrating human-computer interaction for machines and systems. Our article explores developing and implementing an open-source automation software designed for Brain-Computer Interface (BCI) systems to ensure compliance with Institutional Review Board (IRB) standards for human subject data. The software implements protocols that help obtain ethical approvals for human subject research by automating documentation and protecting volunteers’ personal information, thus enhancing security, efficiency, and transparency. The article delves into the features of BCI open-source automation software. It discusses its potential impact on advancing a neuroscientific framework for practical research while upholding ethical standards mandated by IRBs. As a study case for demonstration, we collected over 1800 brain readings to create an Avatar platform for flying drones with mind control that provides haptics and a real-time immersive reality. The innovative presented open source software is a valuable tool for automating confidentiality and improving human subject big data management. The system, which is an open-source code available on GitHub, can be used under the MIT License guidelines. The MIT License is known for its brevity and clarity. It grants permission to use, modify, and distribute the software with the condition that the original copyright notice and the license text are retained in the redistributed software.
Presenters
Brayden TheisenStudent, Computer Science, Saint Cloud State University, United States Dingfang Kang
Student, Bachelor of Science, St.Cloud State University, Minnesota, United States Adriano Cavalcanti
Associate Professor, Software Engineering and Computer Science, St. Cloud State University, Minnesota, United States Wei Ying Hsiao
Professor, Teaching and Learning, University of Alaska Anchorage, Alaska, United States
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
2024 Special Focus—People, Education, and Technology for a Sustainable Future
KEYWORDS
Brain-Computer Interface, Institutional Review Board, Spark, TensorFlow, Avatar