一种配备神经生理传感器的头戴式显示器,用于沉浸式多媒体的仪器QoE评估

Raymundo Cassani, Marc-Antoine Moinnereau, T. Falk
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引用次数: 10

摘要

在过去的几年里,虚拟现实和增强现实(分别是VR和AR)应用的消费急剧增加。最终,任何新兴技术的成功都取决于它为终端用户提供的体验,而不是技术本身。体验质量(QoE)评估的主观方法的主要缺点是很难将这些人为因素转换为质量评级,特别是对于日常用户。为了克服这一限制,最近的研究探索了使用客观方法来监测相关感知过程的神经生理相关。在本文中,我们描述了一种配备神经生理传感器的头戴式显示器的开发,该显示器结合了一种消费者现成的VR头显,一种改进的低成本便携式脑电图(EEG)采集设备,用于同时获取脑电图、心电图(ECG)和眼电(EOG)信号和高质量的干电极。该设备在三种不同的情况下进行了评估,每种情况都设计用于测试不同的ExG模式。最初的测试显示了有希望的结果,并且允许(1)从脑电图中精确测量稳态视觉诱发电位,(2)心率变异性测量以区分不同的情感视频,以及(3)EOG测量以监测凝视方向和眨眼,所有这些都是在用户移动时进行的。能够以一种不显眼和便携的方式准确监测自主神经系统和中枢神经系统的信号是新兴VR/AR应用的仪器QoE评估的重要一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Neurophysiological Sensor-Equipped Head-Mounted Display for Instrumental QoE Assessment of Immersive Multimedia
The last few years have seen a drastic increase in the consumption of virtual- and augmented-reality (VR and AR, respectively) applications. Ultimately, the success of any emerging technology will rely on the experience it provides the end user, and not on the technology itself. Subjective methods for quality-of-experience (QoE) assessment have as main disadvantage that converting such human factors into a quality rating is difficult, particularly for everyday users. To overcome this limitation, recent research has explored the use of objective methods to monitor neurophysiological correlates of relevant perception processes. In this paper, we describe the development of a neurophysiological sensor-equipped head-mounted display that combines a consumer off-the-shelf VR headset, a modified low-cost portable device for electroencephalogram (EEG) acquisition repurposed to simultaneously acquire EEG, electrocardiogram (ECG), and electrooculogram (EOG) signals with high-quality dry electrodes. The device was evaluated under three different scenarios, each one designed to test the different ExG modalities. Initial tests showed promising results and allowed for (1) steady-state visually evoked potentials to be accurately measured from EEG, (2) heart rate variability measurements to discriminate between different affective videos, and (3) EOG measurements to monitor gaze direction and eye blinks, all while users were mobile. Being able to accurately monitor signals from the autonomic and central nervous systems in an unobtrusive and portable manner is an important step for instrumental QoE assessment of emerging VR/AR applications.
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