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基于隐蔽手势交互技术的弹群指挥控制方法

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针对城市作战场景下,班排作战小组协同无人装备遂行作战任务时信息传递的隐蔽式需求,提出了一种基于表面肌电信号的隐蔽手势交互方法,并通过弹群指挥控制仿真应用实验进行了验证.开发了表面肌电信号离线和在线采集系统,提出了一种基于卷积神经网络的端到端表面肌电信号分类算法,进而形成了隐蔽手势交互范式.在此基础上,依托仿真环境构建了巡飞弹指挥控制系统,并招募了5名被试开展实验,实验结果表明,基于肌电信号的隐蔽手势交互技术在提高信息传递隐蔽性的同时,也保证了信息交互的准确性,对于提升城市作战场景下班排小组协同无人装备作战的能力具有积极意义.
Command and Control Method of Grouping Based on Covert Gesture Interaction Technology
In view of the covert demand for information transmission when the squad and platoon combat teams cooperate with unmanned equipment to carry out combat tasks in urban combat scenarios,a covert gesture interaction method based on surface electromyography signals is proposed,which is verified by the simulation application experiment of bomb group command and control.Specifically including,an offline and online acquisition system for surface EMG signals is developed,and an end-to-end surface EMG signal classification algorithm based on convolutional neural network is proposed,a covert gesture interaction paradigm is formed.On such basis,the command and control system of loitering munitions is constructed relying on the simulation environment,5 participants are recruited to carry out the experiment.The experimental results show that the covert gesture interaction technology based on electromyography signals not only improves the concealment of information transmission,but also ensures the accuracy of information interaction,which is of positive significance for improving the ability of the off-duty platoon team to cooperate with unmanned equipment in urban combat scenarios.

complex urban combat environmentscovert human-computer interactionmyoelectric signal detectionbomb group command decision-making

徐学超、唐景昇、徐艺博、李鸿鑫、卢惠民、张明、周宗潭

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国防科技大学智能科学学院,长沙 410073

复杂城市作战环境 隐蔽式人机交互 肌电信号检测 弹群指挥决策

国家自然科学基金

62203460

2024

指挥与控制学报

指挥与控制学报

CSTPCD北大核心
ISSN:
年,卷(期):2024.10(3)