Improvement of motor imagery BCI using silent speech

keyword: Motor imagery

LCSH: Brain-computer interfaces -- Signal processing

; Speech, Inner

LCSH: Electroencephalography -- Data processing

; Neural oscillations

LCSH: Human-machine systems -- Design

Abstract: Human expression is exhibited throughout by language, which is generally used for communication. Making use of this fact, combining the language expression silently with the imagination of movement may lead to the improvement of developing the brain-computer interface (BCI) system. This paper focuses on the silent speech related to upper limb movement. In the experiment, five subjects performed silent speech, i.e. at the same time, imagined upper limb movement followed by two words, which are "RIGHT" or "LEFT". Furthermore, each of the participants performed another experiment doing only motor imagery (MI). In both experiments, there are five trials for each movement side. A 19-channel EEG was recorded. The EEG signals were simply analyzed by using the absolute power. The result shows the clearer activation of event-related desynchronization (ERD) of the alpha band (8-12 Hz) on the motor area (C3, C4) during the combination of silent speech and MI.

King Mongkut's University of Technology North Bangkok. Central Library

Address: BANGKOK

Email: library@kmutnb.ac.th

Created: 2020

Modified: 2026-04-07

Issued: 2026-04-07

บทความ/Article

application/pdf

BibliograpyCitation : In Prince of Songkla University. College of Computing. The 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON 2020) (pp.840-843). Pattani : Prince of Songkla University

eng

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