Human-Computer interaction based on real-time EOG signal classification | |
Huiyu Chen1,2![]() ![]() ![]() | |
2022-07 | |
会议名称 | 44th International Engineering in Medicine and Biology Conference |
会议日期 | 11-15 July 2022 |
会议地点 | Glasgow, United Kingdom |
摘要 | 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. |
收录类别 | 其他 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/48865 |
专题 | 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 |
通讯作者 | Huiyu Chen |
作者单位 | 1.School of Artificial Intelligence,University of Chinese Academy of Science,China 2.Institute of Automation,Chinese Academy of Science |
推荐引用方式 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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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
[EMBC]Human-Computer(247KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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