Design of a Control Platform for Mobile Robot with SSVEP-BCI System

This paper introduces a control platform based on brain-computer interface(BCI) for the mobile robot. The proposed platform consists of three parts: Path Planning, SSVEPBCI and Mobile Robot Control. The path planning part aims to seek an optimal path out from the starting point to the target point,...

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Bibliographic Details
Published inIEEE ... International Conference on Cybernetics and Intelligent Systems (Print) pp. 198 - 203
Main Authors Liu, Yang, Li, Xinyang, Yang, Chenguang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2019
Subjects
A algorithm
BCI
CCA
Electroencephalography
Frequency modulation
Heuristic algorithms
mobile robot
Mobile robots
Path planning
SSVEP
Visualization
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ISSN2326-8239
DOI10.1109/CIS-RAM47153.2019.9095824

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Summary:This paper introduces a control platform based on brain-computer interface(BCI) for the mobile robot. The proposed platform consists of three parts: Path Planning, SSVEPBCI and Mobile Robot Control. The path planning part aims to seek an optimal path out from the starting point to the target point, which is denoted as A* algorithm in this work. The found path is shown to the user who determines the actual movement direction using SSVEP-BCI. The signal is sent to the mobile robot to control the movement of the robot. In the BCI part, the collected EEG signals are analyzed with the CCA method to obtain the homologous control signals. The mobile robot is required to complete the movement from the initial point to the destination without collision. The platform is evaluated with an off-line experiment with 4 subjects and the off-line analysis shows the feasibility of the proposed platform.
ISSN:2326-8239
DOI:10.1109/CIS-RAM47153.2019.9095824