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A Neurophysiological Sensor-Equipped Head-Mounted Display for Instrumental QoE Assessment of Immersive Multimedia

机译:一种神经生理传感器装备的头戴式显示器,用于沉浸式多媒体的仪器QoE评估

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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.
机译:过去几年已经看到了虚拟和增强现实(分别)应用的消耗急剧增加。最终,任何新兴技术的成功将依靠它提供最终用户的经验,而不是技术本身。体验质量(QoE)评估的主观方法具有主要缺点,即将这种人类因素转化为质量等级是困难的,特别是对于日常用户来说是困难的。为了克服这种限制,最近的研究已经探讨了使用客观方法来监测相关感知过程的神经生理学相关性。在本文中,我们描述了一种透明生理传感器的头戴式显示器的开发,该显示器结合了消费者的现成VR耳机,用于脑电图的改进的低成本便携式设备(EEG)采集被重新掌握,同时获取EEG,心电图(ECG)和具有高质量干电极的电窗格(EOG)信号。该设备在三种不同的场景下进行评估,每个方案都设计用于测试不同的exg模态。初始测试显示有前途的结果,并且允许(1)稳态视觉诱发电位从EEG,(2)心率可变性测量测量以区分不同的情感视频,(3)EOG测量以监测凝视方向和眼睛眨眼,所有用户都是移动的。能够以不引人注目和便携的方式精确监测来自自主神经系统和中枢神经系统的信号是辅助QR / AR应用的QoE评估的重要步骤。

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