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 Cauwenberghs摘要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强儿童的学习体验。 目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，因为它们会分散孩子的注意力，并通过电极和计算机之间的过多接线限制他们的活动能力。 由于身体运动期间电极和头皮之间的接触不可靠，现有方法也没有什么用处。 这个为期两年的项目具体需要设计和实施一个具有 128 个嵌入式非接触电极的轻质可穿戴无线脑电图记录系统。 这将包括用于在主机上实时分析和显示大脑动态的支持软件。 该研究将产生非侵入性采集和在线解释大脑动力学的新方法，并开辟使用现有方法不可能实现的新研究方向。 该项目支持结合脑电图生物物理学、非接触式和无线传感器工程、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。这项研究的成果将有助于更广泛地了解大脑功能结合认知神经科学和社会动力学的水平。 NSF 学习时间动态中心 (TDLC) 和 UCSD 神经计算研究所的多元化、跨学科学生团体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着增强了 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 支持的推广渠道，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普鲁斯高中。