SGER: Wireless EEG Brain Interface for Extended Interactive Learning

这个探索性研究项目旨在通过非侵入性获取、在线分析和解释儿童的大脑动态来观察和增加儿童的学习经验。目前用于记录高分辨率脑电图（EEG）动态大脑活动的系统并不适合这一目的，因为它们分散了儿童的注意力，并且由于电极和计算机之间的过多连线限制了他们的活动能力。现有的方法也不实用，因为在身体运动时电极和头皮之间的接触不可靠。这个为期两年的项目特别需要设计和实现一个低重量的可穿戴无线脑电图记录系统，该系统包含128个嵌入式非接触式电极。这将包括在主机上实时分析和显示大脑动态的支持软件。该研究将为非侵入式脑动力学采集和在线解释提供新方法，开辟现有方法无法实现的新研究方向。该项目支持结合脑电图生物物理学、非接触和无线传感器工程、独立成分分析、认知神经科学和学习时间动力学的跨学科研究生研究。本研究的结果将有助于在认知神经科学和社会动力学相结合的水平上更广泛地了解脑功能。来自美国国家科学基金会时间动态学习中心（TDLC）和加州大学圣地亚哥分校神经计算研究所的多元化跨学科学生将参与将该仪器应用于生物、认知和社会科学的学习研究。无线脑电图基础设施还显著增强了TDLC现有动作捕捉设施中脑电图记录的移动性，允许在动态环境中与自由互动的受试者进行学习研究。该项目将进一步受益于TDLC支持的外展渠道，包括霍华德休斯医学研究所（HHMI）休斯学者计划（HSP）和加州大学圣地亚哥分校的普鲁斯高中。

Proposal #0847752PI- Gert CauwenberghsABSTRACTThis exploratory research project aims to observe and augment the learning experiences of children through non-intrusive acquisition, on-line analysis and interpretation of their brain dynamics. Current systems for recording high-resolution encephalogram (EEG) dynamical brain activity are not suitable for this purpose because they distract the children and constrain their mobility by excessive wiring between electrodes and computer. Existing methods are also not useful because of unreliable contact between electrodes and scalp during body motion. This two-year project specifically entails the design and implementation of a low-weight wearable, wireless EEG recording system with 128 embedded non-contact electrodes. This will include supporting software for real-time analysis and display of brain dynamics on a host computer. The research will give rise to new methods for non-intrusive acquisition and on-line interpretation of brain dynamics, and open up new research directions not possible using existing methods. The project supports inter-disciplinary graduate research combining biophysics of EEG, engineering of non-contact and wireless sensors, independent component analysis, cognitive neuroscience, and the temporal dynamics of learning.Outcomes of this research will contribute to the broader understanding of brain function at a level combining cognitive neuroscience and social dynamics. A diverse and interdisciplinary body of students at the NSF Temporal Dynamics of Learning Center (TDLC) and the Institute of Neural Computation at UCSD will take part in applying the instrumentation to learning research in the biological, cognitive and social sciences. The wireless EEG infra-structure also significantly enhances the mobility of EEG recording in existing motion-capture facilities at TDLC, allowing the study of learning in dynamic environments with freely interacting subjects. The project will further benefit from outreach channels supported by the TDLC, including the Howard Hughes Medical Institute (HHMI) Hughes Scholar Program (HSP), and the Preuss High School at UCSD.