Volume 20 No 13 (2022)
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Media Player Using Brain-Computer Interface for Persons with Motor Disabilities
Puja A. Chavan, Tushar M. Nasery, Janhavi H, Tiwari, Ankur D. Tripathi, Shreya S. Tonape, Ashlesha S. Todkar
Abstract
Media Player Using Brain-Computer Interface is a
project that enables people with motor-disabilities to interact with a
computer and allows them to select a song of their choice to play it.
It uses Brain-Computer Interfacing to accomplish this. It measures
brain waves originating from a person’s mind with the help of an
electroencephalogram (EEG). These measurements are taken with
the help of electrodes attached to specific parts of the brain.
Combinations of brain-wave patterns help us to analyse the mind of
a person. The person with the disability is presented with the
question, and given a set of options to choose from. The EEG
apparatus measures the brain waves when the question is shown.
These waves, when analysed, give us the correct answer. During
the execution of this project, neither the necessary apparatus nor a
test subject was available. Hence, this project uses a trained dataset
which gives us the necessary brain-wave measurements. This will
enable them to communicate with a computer, thus advancing
research in the field of brain-computer interfaces. The end goal of
this technology is to fully enable persons with impaired motor
abilities to communicate with other human beings through a
computer. This is necessary to facilitate the social inclusion of
persons with motor disabilities. The technology will serve more
important purposes like in case of emergencies, witnessing
accidents, etc.
Keywords
Brain-Computer Interface, Electroencephalogram, MATLAB, Python, Signal Processing
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