火力与指挥控制2025，Vol.50Issue(4)：64-70,7.DOI:10.3969/j.issn.1002-0640.2025.04.009
一种基于脑肌电融合的无人平台人机交互意图识别方法
A Method for Human-machine Interaction Intention Recognition on Unmanned Platforms Based on the Fusion of EEG and EMG
郝章程 1李一洋 1薛文军 1徐艳 1刘闯1
作者信息
- 1. 北方自动控制技术研究所,太原 030006
- 折叠
摘要
Abstract
Currently,modern warfare is characterized by the empowerment of artificial intelligence technology,and unmanned platforms are set to play a significant role in warfare.These platforms can undertake missions such as intelligence reconnaissance,electronic interference,and firepower strikes,greatly enhancing combat capabilities.However,at present,unmanned platforms still rely on remote control from a backend,which consumes manpower and limits the coordination between humans and machines,as well as between individuals.Therefore,this paper proposes an intent recognition method for unmanned platform human-machine interaction based on the fusion of EEG and EMG.This method uses EEG and EMG to control the unmanned platform,freeing up the hands and promoting the collaborative combat between the unmanned platform and the squad members.关键词
无人平台/人机交互/脑电信号/肌电信号/脑肌电融合Key words
unmanned platform/human-computer interaction/EEG/EMG/fusion of EEG and EMG分类
计算机与自动化引用本文复制引用
郝章程,李一洋,薛文军,徐艳,刘闯..一种基于脑肌电融合的无人平台人机交互意图识别方法[J].火力与指挥控制,2025,50(4):64-70,7.
