Classification and Regression Algorithms for Brain Computer Interfacing | IEEE Conference Publication | IEEE Xplore

Classification and Regression Algorithms for Brain Computer Interfacing

Publisher: IEEE

Abstract:

The Brain-Computer Interface (BCI) stands as a groundbreaking technology, establishing a direct communication channel linking the human brain and external devices, enabli...View more

Abstract:

The Brain-Computer Interface (BCI) stands as a groundbreaking technology, establishing a direct communication channel linking the human brain and external devices, enabling seamless interaction and control. This project focuses on the development of a BCI system utilizing machine learning techniques, specifically classification and regression algorithms. The brain-computer interface (BCI) facilitates a connection between the brain and the external world by interpreting physiological information generated during cognitive activities. Recent progress in neuroscience and machine learning has catalyzed transformative developments in BCI technology. This research study explores the implementation of advanced algorithms, specifically focusing on classification and regression techniques to enhance the performance and accuracy of BCI systems.
Date of Conference: 17-19 April 2024
Date Added to IEEE Xplore: 21 May 2024
ISBN Information:
Publisher: IEEE
Conference Location: Coimbatore, India

I. Introduction

Brain-Computer Interfacing (BCI) is a rapidly advancing technology where researchers are dedicated to establishing a direct link between the person mind and computers. BCI involves the collaboration of the brain with mechanical devices, integrating them seamlessly into the body's representation. Unlike traditional communication systems relying on peripheral nerves and muscles, Brain-Machine Interface (BMI) utilizes brain activity for direct control, command, actuation, and communication with the external world. While the human brain is a remarkable asset, the absence of a proper interface can impede its functionality. BCI addresses this gap, bridging the divide between humans and machines, opening the door to diverse applications.

References

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