Review of hybrid brain-computer interface applications in human-computer interaction

被引：0
|
作者：
Liu Y.-X. [1 ]
Li M. [1 ]
Yu Y. [1 ]
Zeng L.-L. [1 ]
Zhou Z.-T. [1 ]
Hu D.-W. [1 ]
机构：
[1] College of Intelligence Science and Technology, National University of Defense Technology, Changsha
来源：
Kongzhi Lilun Yu Yingyong/Control Theory and Applications | 2023年 / 40卷 / 12期
基金：
中国国家自然科学基金;
关键词：
brain computer interface; human computer interaction; hybrid brain computer interface; multimodal;
D O I：
10.7641/CTA.2023.30237
中图分类号：
学科分类号：
摘要：
How to enhance computers’ understanding of human intentions in human-computer interaction systems has attracted increasing attention with the development of intelligent technology. The integration of brain-computer interface technology with neuroscience offers unique advantages in the field of human-computer interaction. Hybrid brain-computer interfaces, through information fusion, enable the complementary integration of multiple modalities, paving the way for future advancements in human-computer interaction. This paper first introduces the types and technical principles of hybrid brain-computer interfaces, with a particular emphasis on the key technology of “signal fusion”. Subsequently, from the perspectives of “controllers” and “monitors”, a statistical analysis of the current research status of hybrid brain-computer interfaces in human-computer interaction is conducted. The results reveal that hybrid brain-computer interfaces are primarily applied as “monitors” in human-computer interaction systems, with a high focus on applications such as emotion recognition and cognitive state assessment. Finally, an outlook on the application prospects of hybrid brain-computer interfaces in human-computer interaction is provided. © 2023 South China University of Technology. All rights reserved.
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页码：2077 / 2089
页数：12
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