摘 要:脑机接口技术旨在维持人类神经系统灵活性的同时让武器装备的智能化水平更接近人类智慧,为人类神经系统和智能装备之间搭建桥梁。为了提高脑机接口的识别正确率,本文提出了一种多人协同的控制技术,通过多位被试同时进行运动想象任务,通过决策选取出最终控制指令进行输出,从而提高控制任务的准确率。
关键词:脑机接口;智能装备;多人协同控制
中图分类号:TN911.7;TP391.9 文献标识码:A 文章编号:2096-4706(2019)14-0024-03
Research on Multi-Person Cooperative Control Technology Based onBrain-Computer Interface
HU Yifang
(The 27th Research Institute of China Electronic Science and Technology Group Corporation,Zhengzhou 450047,China)
Abstract:Brain-computer interface (BCI) technology aims to maintain the flexibility of human nervous system while bringing the intelligence level of weapon equipment closer to human intelligence and building a bridge between human nervous system and intelligent equipment. In order to improve the recognition accuracy of brain-computer interface (BCI),a multi-person collaborative control technology is proposed in this paper. Through the simultaneous motion imagination task of multiple subjects,the final control instructions are selected for output by decision-making,so as to improve the accuracy of the control task.
Keywords:brain-computer interface;intelligent equipment;multi-person collaborative control
参考文献:
[1] 马留洋. 基于虚拟现实的运动想象脑—机接口训练系统 [D]. 郑州:郑州大学,2017.
[2] 马腾. 基于mVEP 和MI 多模态脑机接口的关键技术研究 [D]. 成都:电子科技大学,2018.
作者简介:胡怡芳(1988-),女,汉族,河南南阳人,工程师,硕士研究生,研究方向:生物电子、脑机接口。