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

该项目通过为人机交互的连续控制界面引入新的范例，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之一是基于稳态视觉诱发电位（SSVEP）的诱发反应方法，具有相对较高的信息率，平均准确率超过95%，并且不需要训练。基于SSVEP的系统中的控制以简单的离散选择范例实现，例如从一组图标中选择。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，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的直接大脑接口，为严重身体残疾的人提供连续的控制通道。目标是：1）创建和评估SSVEP为基础的DBI模式的连续控制;和2）通过应用新的连续控制接口，以验证控制方法的轮椅navigationtask.Methods连续SSVEP为基础的DBI控制信号的商业，军事和辅助技术，超越了运动障碍的用户有广泛的应用。这种发展可以作为增强或替代传统的界面，在环境本身损害用户的地方？的控制能力，如战斗机飞行员？驾驶舱，宇航员？是穿太空服还是深海潜水员？的头盔;或者用户需要将他们的物理资源奉献给其他地方，例如医生进行手术。主流用户，特别是老年人，可能会从免提界面中受益，而连续的神经控制可以为更常见的交互（如游戏）提供额外的维度。

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.