pp. 991-1004
S&M2154 Research Paper of Special Issue https://doi.org/10.18494/SAM.2020.2517 Published: March 19, 2020 Quadcopter Robot Control Based on Hybrid Brain–Computer Interface System [PDF] Chao Chen, Peng Zhou, Abdelkader Nasreddine Belkacem, Lin Lu, Rui Xu, Xiaotian Wang, Wenjun Tan, Zhifeng Qiao, Penghai Li, Qiang Gao, and Duk Shin (Received July 12, 2019; Accepted November 5, 2019) Keywords: hybrid brain computer interface (hBCI), common spatial pattern (CSP), hierarchical support vector machine (hSVM)
A hybrid brain–computer interface (hBCI) has recently been proposed to address the
limitations of existing single-modal brain computer interfaces (BCIs) in terms of accuracy and
information transfer rate (ITR) by combining more than one modality. The hBCI system also
showed promising prospects for patients because the design of a human-centered smart robot
control system may allow the performance of multiple tasks with high efficiency. In this paper,
we present a hybrid multicontrol system that simultaneously uses electroencephalography (EEG)
and electrooculography (EOG) signals. After the preprocessing phase, we used a common
spatial pattern (CSP) algorithm to extract EEG and EOG features from motor imagery and eye
movements. Moreover, a support vector machine (SVM) was used to solve a multiclass problem
and complete flight operations through the asynchronous hBCI control of a four-axis quadcopter
(e.g., takeoff, forward, backward, rightward, leftward, and landing). Online decoding of
experimental results showed that 97.14, 95.23, 98.09, and 96.66% average accuracies, and 45.80,
43.99, 46.78, and 45.34 bits/min average ITRs were achieved in the control of a quadcopter.
These online experimental results showed that the proposed hybrid system might be better in
terms of completing multidirection control tasks to increase the multitasking and dimensionality
of a BCI.
Corresponding author: Qiang Gao and Duk ShinThis work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Chao Chen, Peng Zhou, Abdelkader Nasreddine Belkacem, Lin Lu, Rui Xu, Xiaotian Wang, Wenjun Tan, Zhifeng Qiao, Penghai Li, Qiang Gao, and Duk Shin, Quadcopter Robot Control Based on Hybrid Brain–Computer Interface System, Sens. Mater., Vol. 32, No. 3, 2020, p. 991-1004. |