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首页> 外文期刊>Neural Systems and Rehabilitation Engineering, IEEE Transactions on >Upper Body-Based Power Wheelchair Control Interface for Individuals With Tetraplegia
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Upper Body-Based Power Wheelchair Control Interface for Individuals With Tetraplegia

机译:四肢瘫痪患者的基于上身的电动轮椅控制界面

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摘要

Many power wheelchair control interfaces are not sufficient for individuals with severely limited upper limb mobility. The majority of controllers that do not rely on coordinated arm and hand movements provide users a limited vocabulary of commands and often do not take advantage of the user's residual motion. We developed a body–machine interface (BMI) that leverages the flexibility and customizability of redundant control by using high dimensional changes in shoulder kinematics to generate proportional control commands for a power wheelchair. In this study, three individuals with cervical spinal cord injuries were able to control a power wheelchair safely and accurately using only small shoulder movements. With the BMI, participants were able to achieve their desired trajectories and, after five sessions driving, were able to achieve smoothness that was similar to the smoothness with their current joystick. All participants were twice as slow using the BMI however improved with practice. Importantly, users were able to generalize training controlling a computer to driving a power wheelchair, and employed similar strategies when controlling both devices. Overall, this work suggests that the BMI can be an effective wheelchair control interface for individuals with high-level spinal cord injuries who have limited arm and hand control.
机译:对于上肢活动严重受限的个人而言,许多电动轮椅控制界面是不够的。大多数不依赖于协调的手臂和手部运动的控制器为用户提供了有限的命令词汇,并且经常没有利用用户的剩余运动。我们开发了一种人机界面(BMI),通过使用肩膀运动学中的高尺寸变化来生成电动轮椅的比例控制命令,从而充分利用了冗余控制的灵活性和可定制性。在这项研究中,三名颈椎脊髓损伤的人仅需很小的肩膀运动就能安全,准确地控制电动轮椅。借助BMI,参与者能够达到所需的轨迹,并且在驾驶了五次之后,能够实现与当前操纵杆的平滑度相似的平滑度。所有参与者使用BMI的速度都慢了一倍,但在练习中有所改善。重要的是,用户能够对控制计算机进行全面培训以驾驶电动轮椅,并且在控制两个设备时采用了类似的策略。总体而言,这项工作表明BMI可以成为手臂和手部控制受限的严重脊髓损伤个人的有效轮椅控制界面。

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