SGER: HCC: Evoked-Response Direct Brain Interfaces for Continuous Control

SGER：HCC：用于连续控制的诱发反应直接脑接口

• 批准号: 0745829
• 负责人: Melody Jackson
• 金额: $ 14.48万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-15 至 2009-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0745829&HistoricalAwards=false
• 关键词: SGER; HCC; Evoked; Response; Direct

This project makes a fundamental contribution to the field of direct brain interfaces (DBI) by introducing new paradigms for continuous control interfaces for human-computer interaction. One of the most effective direct brain interfaces is an evoked-response method based on Steady State Visual Evoked Potentials (SSVEP), with relatively high information rates, accuracy averaging over 95%, and no training required. Control in of SSVEP-based systems is implemented in a simple discrete selection paradigm, such as choosing from a set of icons. Discrete selection techniques work well for applications such as spelling or choosing a channel on a television. Unfortunately, they do not work well for continuous tasks such as drawing, moving a cursor on a screen, or driving a wheelchair. This project will explore, develop, and validate an SSVEP-based direct brain interface to provide a continuous channel of control for people with severe physical disabilities. The objectives are: 1) to create and evaluate SSVEP-based DBI paradigms for continuous control; and 2) to validate the control methods by applying the new continuous control interface to a wheelchair navigation task.Methods for continuous SSVEP-based DBI control signals have broad applications for commercial, military and assistive technologies that go beyond users with motor impairment. Such developments could be applied as enhancements or replacements for traditional interfaces in places where the environment itself impairs the user?s control abilities, such as a fighter pilot?s cockpit, an astronaut?s space suit or a deep-sea diver?s helmet; or where the user is required to dedicate their physical resources elsewhere, such as a doctor performing surgery. Mainstream users, particularly the elderly, may benefit from a hands-free interface, and continuous neural control could provide an added dimension to more common interactions such as gaming.

该项目通过引入人机交互连续控制接口的新范例，对直接脑接口（DBI）领域做出了根本性的贡献。最有效的直接脑接口之一是基于稳态视觉诱发电位（SSVEP）的唤起反应方法，具有相对较高的信息率，平均准确率超过95%，无需训练。基于ssvep的系统的控制在一个简单的离散选择范例中实现，例如从一组图标中进行选择。离散选择技术适用于拼写或选择电视频道等应用。不幸的是，它们不能很好地用于连续的任务，如绘图、移动屏幕上的光标或驾驶轮椅。该项目将探索、开发和验证基于ssvep的直接脑接口，为严重身体残疾的人提供持续的控制渠道。目标是：1)创建和评估用于连续控制的基于ssvep的DBI范例；2)将新的连续控制接口应用于轮椅导航任务，对控制方法进行验证。基于ssvep的连续DBI控制信号的方法在商业，军事和辅助技术中具有广泛的应用，超出了运动障碍用户的应用范围。在环境本身对用户不利的地方，这种开发可以作为传统界面的增强或替代。S的控制能力，比如战斗机飞行员？S座舱，宇航员？S太空服还是深海潜水员？年代头盔;或者用户需要在其他地方投入他们的物理资源，比如医生做手术。主流用户，尤其是老年人，可能会从免提界面中受益，持续的神经控制可以为更常见的互动（如游戏）提供额外的维度。