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Shaping feedback to promote learning to use a human-machine interface to drive a power wheelchair by people with tetraplegia

Shaping feedback to promote learning to use a human-machine interface to drive a power wheelchair by people with tetraplegia
形成反馈以促进四肢瘫痪患者学习使用人机界面来驱动电动轮椅
批准号:
9192327
负责人:
Elias Barry Thorp
金额:
$3.05万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-01 至 2017-06-30

项目摘要

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中文摘要
翻译
项目摘要 尽管在控制个人辅助设备的人机界面领域取得了进展,但 四肢瘫痪,有效操作这些设备的学习负担很大程度上取决于它们的用户。目标是 这一建议的目的是通过利用最优控制原则来减轻这一负担 有动静。具体地说,操纵反馈噪声可能是整形和增强的有效手段 控制冗余自由度,并可改善个体的人机界面性能 四肢瘫痪。这项工作使用了一个运动学的人机界面,它可以平移高维度的身体 移动到低维控制命令。拟议工作的临床影响将被直接测量 通过对四肢瘫痪患者进行广泛的评估,执行功能任务,控制 电脑光标和驾驶电动轮椅。这些研究的结果旨在为培训提供参考 一大类人机界面的范例,这些界面可为残障用户提供 控制信号超过了控制辅助设备所需的变量数量。如果成功, 这项工作将直接导致加强训练范例,以重新组织人类的灵活性并使其适应 因残疾而造成的限制。这将增加能够访问的个人数量 辅助设备,增强功能独立性,广泛改善生活质量。
英文摘要
Project Summary Despite progress in the field of human-machine interfaces to control assistive devices for individuals with tetraplegia, the learning burden to efficiently operate these devices rests largely upon their users. The objective of this proposal is to lessen this burden by leveraging principles of optimal control that govern unimpaired movement. Specifically, manipulating feedback noise may be an effective means of shaping and enhancing control of redundant degrees of freedom and may improve human-machine interface performance of individuals with tetraplegia. This work uses a kinematic human-machine interface that translates high dimensional body movements to low dimensional control commands. Clinical impact of the proposed work will be directly measured by conducting extensive assessments of individuals with tetraplegia performing functional tasks, controlling a computer cursor and driving a power wheelchair. The results of these studies are intended to inform training paradigms for a wide family of human-machine interfaces that exploit the availability to the disabled users of control signals in excess of the number of variables that are required to control an assistive device. If successful, this work will directly result in enhanced training paradigms for reorganizing human dexterity and adapting it to the constraints established by the disability. This will increase the number of individuals who will be able access assistive devices, increasing functional independence and broadly improving quality of life.
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