一个听觉脑电脑接口来检测声音压力水平的变化,用于自动音量控制
Riki Kimura1, Isao Nambu1, Rui Fujitsuka1
1Graduate School of Engineering, Nagaoka University of Technology, 1603-1 Kamitomioka, Nagaoka, Niigata, 940-2188, Japan.
Heliyon
|January 15, 2024
概括
这项研究探讨了用于自动音量控制的脑电脑接口 (BCI). 大脑活动成功地区分了目标声音,显示BCI.
科学领域:
- 神经科学是一个神经科学.
- 人与计算机的交互
- 信号处理 信号处理
背景情况:
- 舒适的视听体验需要有效的音量控制.
- 大脑-计算机接口 (BCI) 提供了新的交互方法.
- 听觉奇怪模式被用来研究大脑对声音刺激的反应.
研究的目的:
- 开发一个使用BCI的自动音量控制系统.
- 调查使用电脑电图 (EEG) 信号进行音量调节的可行性.
- 用不同的音量和目标范式来评估BCI性能.
主要方法:
- 使用一种听觉奇怪的范式,具有不同的声音水平 (60-70 dB和50-60 dB).
- 使用脑电图 (EEG) 测量大脑活动.
- 根据P300大脑反应分类目标和非目标声音.
主要成果:
- 在两级实验中 (70 dB与60 dB相比) 在分类目标声音方面取得了0.90准确度.
- 在一个更复杂的两目标实验中获得了0.76准确度 (50dB与非目标).
- 对于更响亮的目标声音,已经证明了更高的分类准确性.
结论:
- BCI技术显示出开发自动音量控制系统的潜力.
- 准确性需要改进,用于实际的,现实世界的应用.
- 声音水平显著影响BCI在听觉任务中的表现.
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