Human-Computer interaction based on real-time EOG signal classification
Huiyu Chen1,2; Zhigang Yin1; Zongfu Qu1,2; Luo Yang1,2
2022-07
Conference Name44th International Engineering in Medicine and Biology Conference
Conference Date11-15 July 2022
Conference PlaceGlasgow, United Kingdom
Abstract

Abstract - In this paper, we propose an HCI system based on EOG signals, which includes designing experiments using OpenBCI to collect EOG signals from multiple directions of the user and the corresponding visual direction categories, constructing and training an EOG-visual direction classification model. According to the control strategy corresponding to the line-of-sight direction category, the user could control the HCI device.

 

Clinical Relevance - This system can reduce the software and hardware costs of HCI while achieving a simple and effective interaction method. It also creates the possibility for patients with neurodegenerative diseases to control the computer.

Indexed By其他
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/48865
Collection国家专用集成电路设计工程技术研究中心_前瞻芯片研制与测试
Corresponding AuthorHuiyu Chen
Affiliation1.School of Artificial Intelligence,University of Chinese Academy of Science,China
2.Institute of Automation,Chinese Academy of Science
Recommended Citation
GB/T 7714
Huiyu Chen,Zhigang Yin,Zongfu Qu,et al. Human-Computer interaction based on real-time EOG signal classification[C],2022.
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