Human-Computer interaction based on real-time EOG signal classification
Huiyu Chen1,2; Zhigang Yin1; Zongfu Qu1,2; Luo Yang1,2
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.
条目包含的文件 下载所有文件
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
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Huiyu Chen]的文章
[Zhigang Yin]的文章
[Zongfu Qu]的文章
百度学术
百度学术中相似的文章
[Huiyu Chen]的文章
[Zhigang Yin]的文章
[Zongfu Qu]的文章
必应学术
必应学术中相似的文章
[Huiyu Chen]的文章
[Zhigang Yin]的文章
[Zongfu Qu]的文章
相关权益政策
暂无数据
收藏/分享
文件名: [EMBC]Human-Computer interaction based on real-time EOG signal classification.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。