Disability Assistant System Using Brain-Computer Interface and EEG Signals

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Authors

Lopez, Celso
Bialczak, Eric
Atari, Sief

Issue Date

2022-03-28

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Other

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en_US

Keywords

Disability assistant systems , Brain-computer interface , EEG signals

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Abstract

Objects' telepathic control letting people use their minds to move objects telepathically has always been a part of fictional movies and literature. Nowadays, this fictional interpretation is becoming our reality. BrainComputer Interface (BCI) provides the power that enables people with disabilities to interact with their environment. BCI obtains brain activity measured through different techniques like the EEG signals. These signals can be extracted, enhanced, analyzed, and sent to computers for processing and translated to several physical commands. These commands can be transferred to output devices to apply the actions. People suffering from neuromuscular problems or disorders can use brain signals to communicate and handle objects in their environment, which allows them to do activities they cannot do due to disabilities. The neurons are the fundamental unit of the brain and nervous system. When thinking, moving, or feeling, these neurons will be activated and can be represented by electrical impulses and biochemical signals. In this work, the EEG signals will be captured and recorded using EMOTIV Insight 2.0 headset. The processed signals from each user will be utilized to train a customized user-specific profile to interpret these use's signals into physical computer commands. These interpreted commands will be sent to the object under control (a robot in this experiment) to manage the object's activities. Also, face and eye muscles activities will be used in fusion with the EEG signals to enhance the performance metrics and improve the controllability of the device under control. A non-holonomic differential drive robot will be used as the object under control in this work. The robot can be replaced by a wheelchair, scooter, or any other medical device that patients with disabilities require.

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