脑机接口在无人系统中的应用

Applications of Brain-computer Interface in Unmanned Systems

对脑机接口在无人系统领域的应用进行了综合评述,并对未来研究进行了展望。首先,系统阐述了脑机接口关键技术的发展脉络,揭示了脑机接口与无人系统结合的内在需求,并针对脑机接口技术的最新发展态势,深入分析了其在无人系统中应用的可行性及未来潜力。随后,通过对无人系统进行分类和功能解析,探讨了当前脑机接口控制无人系统的策略及其局限性。最后,分析了目前脑机接口技术在无人系统中的典型应用案例及其系统集成方案。综述表明,脑机接口技术能够为无人系统的人机交互控制提供更加实时、可靠与用户友好的人机交互界面,在无人系统领域具有广泛的应用前景。但同时,基于脑机接口的无人系统控制研究仍然面临着高性能脑机接口传感器设计、精确脑波分类识别算法设计与可靠系统集成设计等方面的挑战。

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.