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脑机接口技术的军事应用前景及其挑战

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论文旨在讨论脑机接口技术的军事应用现状与前景及其在未来技术发展中将要面临的挑战。首先,从脑控和控脑两个方面对脑机接口的概念内涵、当前技术实现途径等开展了讨论;其次,从脑机协同武器装备操控、脑机接口技术支撑的战员能力增强、战员认知状态检测与调控、战员神经系统损伤修复等4个方面对脑机接口在军事领域应用现状和潜在应用前景进行了分析讨论,特别是展现了脑机接口在武器装备智能水平提升以及战员战斗能力保持与增强等方面的巨大应用价值;最后,从脑认知机制研究对脑机接口发展高度的决定作用、研究应用的道德与法律伦理体系规范建设、信息安全与隐私性等3方面讨论分析了脑机接口技术进化,特别是在军事应用中将要面临的挑战。
Military application prospects and challenges of brain computer interface technology
The paper aims to discuss the current status and prospects of military applications of brain computer interface technology,as well as the challenges it will face in future technological development.The paper first discusses the con-ceptual connotation,current technological implementation approaches,and current development status of brain computer interfaces in the military field from two aspects:control by brain and control of brain;Secondly,the current application status and potential application prospects of brain computer interface in the military field were analyzed and discussed from four aspects:brain computer collaborative weapon equipment control,enhancement of fighter capabilities supported by brain computer interface technology,detection and regulation of fighter cognitive state,and repair of fighter nervous system damage.In particular,the enormous application value of brain computer interface in improving the intelligence level of weapon equipment and maintaining and enhancing fighter combat capabilities was demonstrated;Finally,the evolution of brain computer interface technology,especially the challenges it will face in military applications,was discussed and analyzed from three aspects:the decisive role of brain cognitive mechanism research in the development of brain computer interfaces,the construction of ethical and legal systems for research applications,and information security and privacy.

brain computer interfacehuman ability enhancementcognitive state detection and regulationnervous system damage repair

刘亚东、李明、周宗潭

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国防科技大学智能科学学院,湖南长沙 410073

脑机接口 人体能力增强 认知状态检测与调控 神经系统损伤修复

2024

控制理论与应用
华南理工大学 中国科学院数学与系统科学研究院

控制理论与应用

CSTPCD北大核心
影响因子:1.076
ISSN:1000-8152
年,卷(期):2024.41(11)