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A Wearable Brain-Computer Interface Instrument for Augmented Reality-based Inspection in Industry 4.0
IEEE Transactions on Instrumentation and Measurement ( IF 5.6 ) Pub Date : 2020-04-01 , DOI: 10.1109/tim.2019.2914712
Leopoldo Angrisani , Pasquale Arpaia , Antonio Esposito , Nicola Moccaldi

This paper proposes a wearable monitoring system for inspection in the framework of Industry 4.0. The instrument integrates augmented reality (AR) glasses with a noninvasive single-channel brain–computer interface (BCI), which replaces the classical input interface of AR platforms. Steady-state visually evoked potentials (SSVEP) are measured by a single-channel electroencephalography (EEG) and simple power spectral density analysis. The visual stimuli for SSVEP elicitation are provided by AR glasses while displaying the inspection information. The real-time metrological performance of the BCI is assessed by the receiver operating characteristic curve on the experimental data from 20 subjects. The characterization was carried out by considering stimulation times from 10.0 down to 2.0 s. The thresholds for the classification were found to be dependent on the subject and the obtained average accuracy goes from 98.9% at 10.0 s to 81.1% at 2.0 s. An inspection case study of the integrated AR-BCI device shows encouraging accuracy of about 80% of lab values.

中文翻译:

用于工业 4.0 中基于增强现实的检测的可穿戴脑机接口仪器

本文提出了工业4.0框架下的可穿戴式巡检监控系统。该仪器将增强现实 (AR) 眼镜与无创单通道脑机接口 (BCI) 集成在一起,取代了 AR 平台的经典输入接口。稳态视觉诱发电位 (SSVEP) 是通过单通道脑电图 (EEG) 和简单的功率谱密度分析来测量的。在显示检查信息的同时,AR 眼镜提供 SSVEP 诱导的视觉刺激。BCI 的实时计量性能由 20 名受试者的实验数据的接收者操作特征曲线评估。通过考虑从 10.0 到 2.0 s 的刺激时间来进行表征。发现分类阈值取决于主题,获得的平均准确度从 10.0 秒时的 98.9% 到 2.0 秒时的 81.1%。集成 AR-BCI 设备的检查案例研究显示,令人鼓舞的准确度约为实验室值的 80%。
更新日期:2020-04-01
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