| 引用本文: | 刘迎欣,李明,于扬,曾令李,周宗潭,胡德文.混合脑机接口在人机交互领域的应用综述[J].控制理论与应用,2023,40(12):2077~2089.[点击复制] |
| Liu Ying-xin,LI Ming,YU Yang,ZENG Ling-li,ZHOU Zong-tan,HU De-wen.Review of hybrid brain-computer interface applications in human-computer interaction[J].Control Theory and Technology,2023,40(12):2077~2089.[点击复制] |
|
| 混合脑机接口在人机交互领域的应用综述 |
| Review of hybrid brain-computer interface applications in human-computer interaction |
| 摘要点击 1315 全文点击 399 投稿时间：2023-04-19 修订日期：2023-10-09 |
| 查看全文 查看/发表评论 下载PDF阅读器 |
| DOI编号 10.7641/CTA.2023.30237 |
| 2023,40(12):2077-2089 |
| 中文关键词 脑机接口 人机交互 混合脑机接口 多模态 |
| 英文关键词 brain computer interface human computer interaction hybrid brain computer interface multimodal |
| 基金项目 科技创新2030项目(2022ZD0208903), 国家自然科学基金项目(62006239, 61722313, 62036013), 霍英东教育基金项目(161057)资助. |
|
| 中文摘要 |
| 在人机交互系统中, 如何使计算机更好地理解人类意图? 随着智能科技的发展, 这个问题越来越受到人们
的关注. 脑机接口技术与脑科学密切结合, 在人机交互领域具有独特的应用优势. 混合脑机接口通过信息融合实现
多种模态的互补共促, 成为人机交互领域未来发展的新方向和新趋势. 本文首先介绍了混合脑机接口的类型和技
术原理, 并着重探讨了其关键技术“信号融合方式”; 随后, 从“ 控制者”和“监测者”的角度出发, 对混合脑机接口在人
机交互领域的研究现状进行了统计分析, 结果显示, 混合脑机接口更多以“监控者”的角色应用于人机交互系统, 其
中情感识别、认知状态评估等均是关注度较高的应用方向; 最后, 对混合脑机接口在人机交互中的应用前景进行了
展望. |
| 英文摘要 |
| 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 braincomputer 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 braincomputer interfaces in human-computer interaction is provided. |
|
|
|
|
|