EAGER: Brain-Mobile Interfaces: Exploratory Research into the Development of Networked NeuroPhones

EAGER：大脑移动接口：网络神经电话开发的探索性研究

• 批准号: 1058753
• 负责人: Andrew Campbell
• 金额: $ 25万
• 依托单位: Dartmouth College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1058753&HistoricalAwards=false
• 关键词: EAGER; Brain; Mobile; Interfaces; Exploratory

Research supported by this EAGER award is developing the NeuroPhone system, the first Brain-Mobile phone Interface (BMI) that enables neural signals from consumer-level wireless electroencephalography (EEG) headsets worn by people as they go about their everyday lives to be interfaced to mobile phones and combined with existing sensor streams on the phone (e.g., accelerometers, gyroscopes, GPS) to enable new forms of interaction, communications and human behavior modeling. Specifically, this high-risk exploratory research is to:1) study new energy-efficient techniques and algorithms for low-cost wireless EEG headsets and mobile phones for robust sensing, processing and duty cycling of neural signals using consumer devices;2) develop new learning and classifications algorithms for the mobile phone to extract and infer cognitively informative signals (e.g., P300, N400, and neural synchrony) from EEG headsets in noisy mobile environments;3) deploy networked NeuroPhone systems with a focus on real-time multi-party neural synchrony and the networking, privacy and sharing of neural signals between networked NeuroPhones; and4) evaluate networked NeuroPhones applications, specifically, measuring teacher-student engagement in the classroom and measuring group level emotional state.This interdisciplinary research opens up opportunities in education, teaching and outreach, in part because it focuses on an educational NeuroPhone application, which contributes new insights into cognitive engagements of students in the classroom as well as engages students from the Department of Computer Science and the Department of Psychological and Brain Sciences in the project. Results from this work will transform applications across diverse domains such as education, health monitoring, and social networking.

该急切奖励支持的研究正在开发神经节系统，这是第一个从消费者级的无线脑电图（EEG）的神经信号中的第一个脑移动电话界面（BMI），人们在日常生活中戴着的日常生活中戴上的耳机与手机相互作用，并与手机上的现有传感器接触（e.g.g.，gps gysersomemement，g。互动，沟通和人类行为建模。具体而言，这项高风险的探索性研究是：1）研究新的节能技术和算法，用于低成本无线脑电图和手机，用于使用消费者设备对神经信号进行稳健感测，处理和占空比的循环；同步）来自嘈杂的移动环境中的EEG耳机； 3）部署网络的神经载体系统，重点是实时多方神经同步，以及网络神经载体之间神经信号的网络，隐私和共享； and4) evaluate networked NeuroPhones applications, specifically, measuring teacher-student engagement in the classroom and measuring group level emotional state.This interdisciplinary research opens up opportunities in education, teaching and outreach, in part because it focuses on an educational NeuroPhone application, which contributes new insights into cognitive engagements of students in the classroom as well as engages students from the Department of Computer Science and the Department of Psychological and Brain Sciences in项目。这项工作的结果将改变教育，健康监测和社交网络等不同领域的应用程序。