This paper provides a comprehensive review of the application of Brain-computer Interface(BCI)technology in the field of unmanned systems and offers insights into future research directions.Firstly,it systematically outlines the development trajectory of key BCI technologies,reveals the inherent need for integrating BCIs with unmanned systems,and deeply analyzes the feasibility and future potential of applying BCI technology to unmanned systems based on its latest developments.Subsequently,by categorizing and analyzing the functions of unmanned systems,the paper explores the current strategies and limitations of using BCIs to control unmanned systems.Finally,it examines typical application cases of BCI technology in unmanned systems and their system integration solutions.The review indicates that BCI technology can provide more real-time,reliable,and user-friendly human-computer interaction interfaces for the control of unmanned systems,demonstrating broad application prospects in this field.However,the research on BCI-based control of unmanned systems still faces challenges in the design of high-performance BCI sensors,precise brainwave classification algorithms,and reliable system integration.
维普
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