思想控制的计算机应用:一种脑计算机接口系统,用于严重残疾人的支持
Kais Belwafi1, Fakhreddine Ghaffari2
1Department of Computer Engineering, College of Computing & Informatics, University of Sharjah, Sharjah 26666, United Arab Emirates.
Sensors (Basel, Switzerland)
|October 26, 2024
概括
本研究介绍了一种用于严重残疾人的大脑计算机接口 (BCI) 系统. 思想控制的BCI增强了计算机交互和信息获取,在将大脑信号转化为命令方面实现了高精度.
科学领域:
- 神经科学和计算机科学
- 辅助技术开发开发 辅助技术开发
背景情况:
- 传统的辅助技术往往需要身体互动,这给严重残疾的人带来了挑战.
- 现有的脑计算机接口 (BCI) 系统可能依赖于视觉刺激,限制直观控制.
研究的目的:
- 引入使用BCI技术的集成计算环境,以改善严重残疾人获得信息的机会.
- 开发由思想控制的新型人机接口,以提高可访问性.
主要方法:
- 利用电脑脑图形 (EEG) 信号处理和机器学习来将大脑信号转化为命令.
- 开发了一个BCI框架,控制四个应用程序:电子邮件,Web浏览器,电子学习和计算机资源管理.
- 集成了一个P300模式用于虚拟键盘和文本输入,从基于思想的控制切换.
主要成果:
- 在62个受试者中使用四种不同的想法,实现了82%的平均分类准确度.
- 在两个用户中,P300信号的识别率达到了95%.
- 与现有方法相比,在分类准确性和信号识别方面表现出卓越的性能.
结论:
- 拟议的BCI系统显著提高了严重残疾人的互动能力.
- 思想控制的BCI提供了比传统辅助技术更直观和更容易获得的替代方案.
- 该框架有效地将大脑活动转化为可操作的计算机命令,提高用户的独立性.
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