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Open Access

Study on Robot Grasping System of SSVEP-BCI Based on Augmented Reality Stimulus

School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China
Beijing Institute of Mechanical Equipment, Beijing 100854, China
Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, China
Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300192, China
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Abstract

Although notable progress has been made in the study of Steady-State Visual Evoked Potential (SSVEP)-based Brain-Computer Interface (BCI), several factors that limit the practical applications of BCIs still exist. One of these factors is the importability of the stimulator. In this study, Augmented Reality (AR) technology was introduced to present the visual stimuli of SSVEP-BCI, while the robot grasping experiment was designed to verify the applicability of the AR-BCI system. The offline experiment was designed to determine the best stimulus time, while the online experiment was used to complete the robot grasping task. The offline experiment revealed that better information transfer rate performance could be achieved when the stimulation time is 2 s. Results of the online experiment indicate that all 12 subjects could control the robot to complete the robot grasping task, which indicates the applicability of the AR-SSVEP-humanoid robot (NAO) system. This study verified the reliability of the AR-BCI system and indicated the applicability of the AR-SSVEP-NAO system in robot grasping tasks.

Keywords

Steady-State Visual Evoked Potential (SSVEP)Brain-Computer Interface (BCI)Augmented Reality (AR)robotgrasping system

References

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Tsinghua Science and Technology
Volume 28 Issue 2,
April 2023
Pages 322-329
DOI: 10.26599/TST.2021.9010085

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Cite this article:
Zhang S, Chen Y, Zhang L, et al. Study on Robot Grasping System of SSVEP-BCI Based on Augmented Reality Stimulus. Tsinghua Science and Technology, 2023, 28(2): 322-329. https://doi.org/10.26599/TST.2021.9010085

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Received: 27 October 2021
Revised: 02 November 2021
Accepted: 05 November 2021
Published: 29 September 2022
© The author(s) 2023.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).