Publication Date

Summer 8-2023

School

School of Engineering and Computational Sciences; School of Health Sciences

Major

Biology: Biomedical Sciences; Engineering: Electrical

Keywords

brain computer interface (BCI), electroencephalogram (EEG), non-invasive, feedback, signal analysis, audio system, audio control, remote control, audio playback, C#

Disciplines

Bioelectrical and Neuroengineering | Biomedical Devices and Instrumentation | Electrical and Electronics | Signal Processing

Abstract

A brain computer interface (BCI) is a system which connects neural signals to a computer system. They have been used for controlling systems including robotics, on-screen computer control such as mouse movement, typing, and synthesizing audio signals. Invasive, or implanted, systems are often long-term medical solutions, or used for research where very clear signal is required. Non-invasive systems usually rely on exterior signals gathered through a headset using one or more electrode sensors. These signals are composed of sums of neuron activation potentials from brain activity and can be used to determine particular aspects of brain function. All BCIs rely on neural feedback of some form; the most effective systems combine multiple forms of feedback. The proposed BCI design will control audio playback through a connection to a non-invasive EEG sensor headset worn by the user. This design will take a conclusive step toward better integration of this technology for more effective control of systems in the future. It would be helpful to any consumer who wants to control media play back hands free, as well as patients unable to use hands for control. Its advantages include a low price point and simple implementation compared to medical and research grade equipment. In summary, the proposed BCI audio playback control system is a simple yet vital step toward a truly robust implementation of such a system on a larger scale.

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