An investigation of a passive BCI's performance for different body postures and presentation modalities.

IF 1.3 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Diana E Gherman, Laurens R Krol, Marius Klug, Thorsten O Zander
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引用次数: 0

Abstract

Passive brain-computer interfaces (passive BCIs, pBCIs) enable computers to unobtrusively decipher aspects of a user's mental state in real time from recordings of brain activity, e.g. electroencephalography (EEG). When used during human-computer interaction (HCI), this allows a computer to dynamically adapt for enhancing the subjective user experience. For transitioning from controlled laboratory environments to practical applications, understanding BCI performance in real contexts is of utmost importance. Here, Virtual Reality (VR) can play a unique role: both as a fully controllable simulation of a realistic environment and as an independent, increasingly popular real application. Given the potential of VR as a dynamic and controllable environment, and the capability of pBCIs to enable novel modes of interaction, it is tempting to envision a future where pBCI and VR are seamlessly integrated. However, the simultaneous use of these two technologies-both of which are head-mounted-presents new challenges. Due to their immediate proximity, electromagnetic artifacts can arise, contaminating the EEG. Furthermore, the active movements promoted by VR can induce mechanical and muscular artifacts in the EEG. The varying body postures and display preferences of users further complicate the practical application of pBCIs. To address these challenges, the current study investigates the influence of body posture (sitting Versus standing) and display media (computer screen Versus VR) on the performance of a pBCI in assessing cognitive load. Our results show that these conditions indeed led to some changes in the EEG data; nevertheless, the ability of pBCIs to detect cognitive load remained largely unaffected. However, when a classifier trained in one context (body posture or modality) was applied to another (e.g., cross-task application), reductions in classification accuracy were observed. As HCI moves towards increasingly adaptive and more interactive designs, these findings support the expansive potential of pBCIs in VR contexts.

被动脑机接口在不同身体姿势和呈现方式下的表现研究。
被动脑机接口(被动脑机接口,pBCIs)使计算机能够从大脑活动记录(例如脑电图)中不显眼地实时破译用户精神状态的各个方面。当在人机交互(HCI)中使用时,它允许计算机动态适应以增强主观用户体验。为了从受控的实验室环境过渡到实际应用,了解BCI在真实环境中的性能是至关重要的。在这里,虚拟现实(VR)可以发挥独特的作用:既可以作为对现实环境的完全可控的模拟,也可以作为一种独立的、日益流行的现实应用。考虑到虚拟现实作为一个动态和可控环境的潜力,以及pBCI实现新型交互模式的能力,人们很容易想象pBCI和VR无缝集成的未来。然而,同时使用这两种技术(都是头戴式的)会带来新的挑战。由于它们离得太近,会产生电磁伪影,污染脑电图。此外,虚拟现实促进的主动运动可以在脑电图中诱发机械和肌肉伪影。用户不同的身体姿势和显示偏好进一步使pbci的实际应用复杂化。为了解决这些挑战,本研究调查了身体姿势(坐着还是站着)和显示媒体(电脑屏幕还是虚拟现实)对pBCI评估认知负荷的影响。我们的研究结果表明,这些条件确实导致了脑电数据的一些变化;然而,pbci检测认知负荷的能力在很大程度上没有受到影响。然而,当在一个上下文(身体姿势或模态)中训练的分类器应用于另一个上下文(例如,跨任务应用)时,观察到分类准确性的降低。随着HCI的适应性和交互性越来越强,这些发现支持了pbci在VR环境中的巨大潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biomedical Physics & Engineering Express
Biomedical Physics & Engineering Express RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
2.80
自引率
0.00%
发文量
153
期刊介绍: BPEX is an inclusive, international, multidisciplinary journal devoted to publishing new research on any application of physics and/or engineering in medicine and/or biology. Characterized by a broad geographical coverage and a fast-track peer-review process, relevant topics include all aspects of biophysics, medical physics and biomedical engineering. Papers that are almost entirely clinical or biological in their focus are not suitable. The journal has an emphasis on publishing interdisciplinary work and bringing research fields together, encompassing experimental, theoretical and computational work.
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