Design and Optimization of a Real-Time Asynchronous BCI Control Strategy for Robotic Manipulator Assistance

Batyrkhan Saduanov, Dana Tokmurzina, Kassymzhomart Kunanbayev, Berdakh Abibullaev

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents the design and evaluation of a robotic system controlled by motor imagery based Brain-Computer Interface (BCI), which allows users to perform reach-grasp-release activities in 3D space. The sequential axis control methodology is used in the research to address a low information-transfer rate problem, where a participant has to provide several low-level commands to the robot, such as position on x, y, and z-axes, and close/release gripper actions. With the advantage of the motor imagery paradigm, the system is asynchronous, and the operator performs self-paced control. The BCI system is based on sensory-motor rhythms elicited by electroencephalographic (EEG) signals in the frequency domain to classify mental intent in real-time by a soft voting ensemble classifier model. The experimental results have shown the feasibility of controlling a six-degree-of-freedom robot manipulator with the classification performance in the range of 64-86% tested on seven healthy individuals.

Original languageEnglish
Title of host publication8th International Winter Conference on Brain-Computer Interface, BCI 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728147079
DOIs
Publication statusPublished - Feb 2020
Event8th International Winter Conference on Brain-Computer Interface, BCI 2020 - Gangwon, Korea, Republic of
Duration: Feb 26 2020Feb 28 2020

Publication series

Name8th International Winter Conference on Brain-Computer Interface, BCI 2020

Conference

Conference8th International Winter Conference on Brain-Computer Interface, BCI 2020
CountryKorea, Republic of
CityGangwon
Period2/26/202/28/20

ASJC Scopus subject areas

  • Behavioral Neuroscience
  • Cognitive Neuroscience
  • Artificial Intelligence
  • Human-Computer Interaction

Fingerprint Dive into the research topics of 'Design and Optimization of a Real-Time Asynchronous BCI Control Strategy for Robotic Manipulator Assistance'. Together they form a unique fingerprint.

Cite this