为基于SSVEP的BMI系统优化刺激特性,采用头顶显示器来控制车载功能
Hossein Hamidi Shishavan1,2, Raheli Roy1,2, Kia Golzari2
1Department of Medicine, University of Connecticut School of Medicine, Farmington, Connecticut, United States of America.
PloS one
|September 17, 2024
概括
脑机界面 (BMI) 可以通过优化视觉刺激属性 (SPs) 来提高道路安全,以用于稳定状态视觉唤起潜能 (SSVEP) 检测. 绿色图标,50%工作周期和中央位置可以提高SSVEP响应.
科学领域:
- 人与计算机的互动.
- 神经科学是一个神经科学.
- 汽车安全 汽车安全
背景情况:
- 司机与车载接口的分心仍然是一个重要的道路安全问题.
- 大脑机器接口 (BMI) 提供了一个潜在的解决方案,以减少分心和提高安全性.
研究的目的:
- 为了优化视觉刺激属性 (SPs) 的稳定状态视觉唤起潜力 (SSVEP) 基于BMI系统.
- 评估各种SPs对SSVEP检测性能对车载控制的影响.
主要方法:
- 图标颜色,工作周期,尺寸,位置和信号与噪声比 (SNR) 对SSVEP检测的研究影响.
- 使用头部显示器 (HUD) 向10名志愿者呈现刺激.
- 通过使用正规相关性分析 (CCA),过器银行 CCA (FBCCA) 和功率光谱密度分析 (PSDA) 分析了SSVEP信号.
主要成果:
- 绿色图标具有50%的工作周期,呈现在中央 (36厘米),显著提高SSVEP响应和检测时间.
- 较低的SNR刺激明显损害了SSVEP检测性能.
- 在LCD显示器和HUD之间没有发现SSVEP响应的显著差异.
结论:
- 优化的视觉刺激特性可以提高基于SSVEP的BMI系统的性能,用于车载控制.
- 精心选择刺激参数对于在车辆中有效和安全地实施BMI至关重要.
- BMI技术有望减少驾驶员的分心,并改善整体道路安全.
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