«Brain - computer» interface (BCI). Pt I: classical technology

«Brain - computer» interface (BCI). Pt I: classical technology

Автор: Tyatyushkina Olga Yu., Ulyanov Sergey V.

Журнал: Сетевое научное издание «Системный анализ в науке и образовании» @journal-sanse

Статья в выпуске: 2, 2023 года.

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In traditional BCI techniques, different types of signal acquisition may be used, depending on the application. In this paper we have chosen to treat a complex EEG-EMG-based solution for the control of an artificial arm because only the results offered by motor imaginary solution are not satisfying excepting the fact that electroencephalogram signals present a lower amplitude in comparison with the EMG signals because of limited number of mental commands that can be accessed at the same time through the BCI interface and which must be combined with physical commands, such as facial gestures that can also be recognized and mapped to predefined sequences of keystrokes. This makes it impossible to generate sequences that involve complex movements on a group of servomotors in real time being necessary to record the motion intention generated by each group of muscles to replicate the movement of the human arm. This makes it impossible to generate sequences that involve complex movements on a group of servomotors in real time being necessary to record the motion intention generated by each group of muscles to replicate the movement of the human arm. The EEG solution is also useful in limitation of human error produced by mental workload due to the capacity of recognizing the mental states that produced by the drowsiness state signalized by the increase of blink rate.

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Electroencephalography, magnetoencephalography, bci, brain - computer interface

Короткий адрес: https://sciup.org/14128097

IDR: 14128097

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