A survey of brain-computer interface-based unmanned aerial vehicle control systems
LAN Zhen
LI Zi-xing
YAN Chao
XIANG Xiao-jia
TANG Deng-qing
ZHOU Han
Abstract：Unmanned aerial vehicles(UAVs)have wide application prospects in both military and civilian fields due to their unique advantages such as rapid response and flexible deployment.With the rapid development of brain-computer interface(BCI)technology,the application of BCI in UAV control has received increasing attention.BCI-based UAV control technology can achieve natural interaction between humans and UAVs by directly decoding brain signals,making it a hot topic in the field of intelligent unmanned systems.This paper provides a comprehensive review of BCI-based UAV control systems.First,the structure of BCI-based UAV control system is introduced.Second,the existing BCI-based UAV control systems are classified into single-modal BCIs and hybrid BCIs based on the number of control signals,and their advantages and disadvantages in practical applications are analyzed.Then,the key techniques of BCI-based UAV control systems are summarized from three aspects:feature extraction,pattern classification,and multimodal fusion.Finally,the challenges of BCI-based UAV control systems are discussed,and future development trends are outlined to provide new ideas and directions for related technology research.
Keywords：brain-computer interfaceelectroencephalographyunmanned aerial vehiclemotion control
Publication Date：2023-12-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：18( 2142-2159 )