Objective. A passive brain-computer interface (pBCI) is a system that continuously adapts human-computer interaction to the user’s state. Key to the efficacy of such a system is the reliable estimation of the user’s state via neural signals, acquired through non-invasive methods like electroencephalography (EEG) or near-infrared spectroscopy (fNIRS). Many studies to date have explored the detection of mental workload in particular, usually for the purpose of improving safety in high risk work environments. In these studies, mental workload is generally modulated through the manipulation of task difficulty, and no other aspect of the user’s state is taken into account. In real-life scenarios, however, different aspects of the user’s state are likely to be changing simultaneously—for example, their cognitive state (e.g. level of mental workload) and affective state (e.g. level of stress/anxiety). This inevitable confounding of different states needs to be accounted for in ...

中文翻译：

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基于脑电图的心理负荷水平和压力检测：每个状态的变化对另一个分类的影响

客观的。被动脑机接口（pBCI）是一种根据用户状态不断调整人机交互的系统。这种系统有效性的关键是通过神经信号对用户状态进行可靠估计，这些信号是通过脑电图 (EEG) 或近红外光谱 (fNIRS) 等非侵入性方法获得的。迄今为止，许多研究都特别探索了精神负荷的检测，通常是为了提高高风险工作环境中的安全性。在这些研究中，脑力工作量通常是通过操纵任务难度来调节的，而没有考虑用户状态的其他方面。然而，在现实生活场景中，用户状态的不同方面可能会同时发生变化——例如，他们的认知状态（例如 心理负荷水平）和情感状态（例如压力/焦虑水平）。这种不可避免的不同状态的混淆需要在......