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

该项目通过引入用于人机交互的连续控制接口的新范例，为直接脑接口(DBI)领域做出了根本性的贡献。最有效的直接脑接口方法之一是基于稳态视觉诱发电位(SSVEP)的诱发反应方法，它具有较高的信息率，平均准确率超过95%，并且不需要训练。基于SSVEP的系统的控制是以简单的离散选择范例实现的，例如从一组图标中进行选择。离散选择技术适用于拼写或在电视上选择频道等应用。不幸的是，它们不能很好地完成连续的任务，如画图、在屏幕上移动光标或驾驶轮椅。该项目将探索、开发和验证基于SSVEP的直接脑接口，为严重肢体残疾的人提供持续的控制渠道。其目标是：1)创建和评估基于SSVEP的DBI连续控制范例；以及2)通过将新的连续控制界面应用于轮椅导航任务来验证控制方法。基于SSVEP的连续DBI控制信号的方法在商业、军事和辅助技术方面具有广泛的应用，超越了运动障碍的用户。这种开发可以作为传统界面的增强或替代，用于环境本身损害用户S控制能力的场所，如战斗机飞行员S驾驶舱、宇航员S航天服或深海潜水员S头盔；或者用户需要将他们的体力资源投入到其他地方，如医生进行手术。主流用户，特别是老年人，可能会从免提界面中受益，而持续的神经控制可能会为游戏等更常见的互动提供一个额外的维度。

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.