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: NORTHWESTERN UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2017-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9192327
• 关键词: Abnormal coordination; Activities of Daily Living; Affect; Automobile Driving; Behavior; Clinical; Complex; Computers; Development; Devices; Disabled Persons; Educational process of instructing; Effectiveness; Engineering; Environment; Family; Feedback; Freedom; Goals; Human; Improve Access; Individual; Knowledge; Lead; Learning; Life; Maps; Measures; Methods; Motor; Movement; Muscle; Neuraxis; Noise; Participant; Pattern; Performance; Policies; Population; Powered wheelchair; Quadriplegia; Quality of life; Rehabilitation therapy; Rest; Self-Help Devices; Shapes; Signal Transduction; Spinal cord injury; Structure; Techniques; Testing; Therapeutic; Training; Translating; User-Computer Interface; Wheelchairs; Work; brain machine interface; dexterity; disability; driving force; feeding; improved; kinematics; motor impairment; motor learning; operation; prevent; stroke rehabilitation; theories; tool; usability; visual feedback

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.

项目摘要 尽管在人机界面领域取得了进展，以控制用于患有自闭症的个人的辅助设备， 由于四肢瘫痪，有效操作这些设备的学习负担主要取决于其用户。客观 该提案的一个重要目的是通过利用最优控制原则来减轻这种负担， 运动具体地，操纵反馈噪声可以是成形和增强反馈噪声的有效手段。 冗余自由度的控制，并可改善个人的人机界面性能 四肢瘫痪这项工作使用了一个运动学人机界面，翻译高维体 移动到低维控制命令。将直接衡量拟议工作的临床影响 通过对执行功能性任务的四肢瘫痪患者进行广泛的评估， 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信息， 一个广泛的人机界面家族的范例，利用残疾用户的可用性， 超过控制辅助设备所需变量数量的控制信号。如果成功， 这项工作将直接导致增强训练模式，重新组织人类的灵活性，并使其适应 残疾造成的限制。这将增加能够访问 辅助设备，提高功能独立性，广泛提高生活质量。