SGER: Wireless EEG Brain Interface for Extended Interactive Learning

SGER：用于扩展交互式学习的无线脑电图脑接口

• 批准号: 0847752
• 负责人: Gert Cauwenberghs
• 金额: $ 20万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-10-01 至 2010-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0847752&HistoricalAwards=false
• 关键词: SGER; Wireless; EEG; Brain; Interface

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.

提案＃0847752PI- GERT CAUWENBERGHSABSTRATTIT这项探索性研究项目旨在通过非侵入性的获取，在线分析和对大脑动态的解释来观察和增强儿童的学习经历。 当前用于记录高分辨率脑电图（EEG）动态大脑活动的系统不适合此目的，因为它们分散了孩子的注意力并通过电极和计算机之间的过度接线来限制其移动性。 现有方法也没有用，因为在身体运动过程中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施，具有128个嵌入式非接触电极的低重量可穿戴，无线脑电图记录系统。 这将包括支持用于实时分析的软件，并在主机计算机上显示大脑动力学。 这项研究将引起新的方法，用于对大脑动态的非侵入性获取和在线解释，并使用现有方法打开新的研究方向。 该项目支持跨学科的研究生研究，结合了脑电图的生物物理学，非接触和无线传感器的工程，独立的成分分析，认知神经科学以及学习的时间动态。该研究的局限性将有助于对脑功能的更广泛的了解，从而在一个水平的认知神经科学和社交动力学中对脑功能进行更广泛的了解。 NSF学习中心时间动态（TDLC）和UCSD神经计算研究所的学生团体的多样化和跨学科的团体将参与将仪器应用于生物学，认知和社会科学中的学习研究。 无线脑电图基础结构还显着提高了TDLC现有运动捕获设施中脑电图记录的迁移率，从而可以在具有自由相互作用对象的动态环境中进行学习。 该项目将进一步受益于TDLC支持的外展渠道，包括Howard Hughes医学研究所（HHMI）Hughes Scholar计划（HSP）和UCSD的Preuss High School。