Utilizing augmented reality technology for teaching fundamentals of the human brain and EEG electrode placement

IF 0.5 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC International Journal on Smart Sensing and Intelligent Systems Pub Date : 2022-01-01 DOI:10.2478/ijssis-2022-0005
Charlee Kaewrat, Yunyong Punsawad
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Abstract

Abstract This paper demonstrates the use of augmented reality (AR) to teach the fundamental aspects of the human brain and guide proper EEG electrode placement. The proposed application consists of two main parts: (1) the proposed marker-based AR system uses the Vuforia technique to determine the dimension of the head to create the virtual brain and virtual EEG electrodes; and (2) user interaction and implementation. We performed two experiments using a phantom head to verify the size and workspace area of the marker and validated the position of the virtual electrode with ground truth data. The results showed that the proposed method can be employed for electrode placement guidance in the recommended range. We aim to use the proposed system for beginners. We will further test the system with human heads to evaluate the usability and determine key areas for application improvement.
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利用增强现实技术进行人脑基础知识和脑电图电极放置的教学
摘要:本文演示了使用增强现实(AR)来教授人类大脑的基本方面并指导正确的脑电图电极放置。该应用包括两个主要部分:(1)基于标记的AR系统使用Vuforia技术确定头部的尺寸以创建虚拟大脑和虚拟脑电图电极;(2)用户交互与实现。我们使用虚拟头进行了两次实验,以验证标记的大小和工作区域,并使用地面真实数据验证虚拟电极的位置。结果表明,该方法可用于在推荐范围内的电极放置指导。我们的目标是为初学者使用拟议的系统。我们将进一步用人头测试系统,以评估可用性,并确定应用程序改进的关键领域。
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来源期刊
CiteScore
2.70
自引率
8.30%
发文量
15
审稿时长
8 weeks
期刊介绍: nternational Journal on Smart Sensing and Intelligent Systems (S2IS) is a rapid and high-quality international forum wherein academics, researchers and practitioners may publish their high-quality, original, and state-of-the-art papers describing theoretical aspects, system architectures, analysis and design techniques, and implementation experiences in intelligent sensing technologies. The journal publishes articles reporting substantive results on a wide range of smart sensing approaches applied to variety of domain problems, including but not limited to: Ambient Intelligence and Smart Environment Analysis, Evaluation, and Test of Smart Sensors Intelligent Management of Sensors Fundamentals of Smart Sensing Principles and Mechanisms Materials and its Applications for Smart Sensors Smart Sensing Applications, Hardware, Software, Systems, and Technologies Smart Sensors in Multidisciplinary Domains and Problems Smart Sensors in Science and Engineering Smart Sensors in Social Science and Humanity
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