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Combining Human Volitional Control with Intrinsic Controller on Robotic Prosthesis: A Case Study on Adaptive Slope Walking

机译:用机械假体与内在控制器结合人类的同志控制 - 以自适应坡走路为例

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Affording lower-limb amputees the ability to volitionally control robotic prostheses can improve the adaptability to terrain changes as well as enhancing proprioception. However, it also increases amputees' conscious burdens for prosthesis control. Therefore, in this paper, we aim to propose a hybrid controller which combines human volitional control with the intrinsic controller on the robotic transtibial prosthesis, enabling the amputee actively controlling prosthesis with little conscious attention. In this preliminary study, a hybrid controller for adaptive slope walking was designed. A slope estimator was embedded in the intrinsic controller to estimate the ground slope of the previous step using signals measured by prosthetic sensors. And a myoelectric controller allows the amputee subject to convey slope changes to prosthetic controller by volitionally contract his residual muscles, whose electromyography signals were mapped to the slope increment. The hybrid controller combined these two results to obtain the estimated slope. One male transtibial amputee subject was recruited in this research. Experiment results showed that the intrinsic slope estimator produced satisfactory estimation results with an average absolute error of 0.70 ± 0.54 degrees. By adding amputee's volitional control, the hybrid controller is able to predict the upcoming slope changes.
机译:提供低肢体的能力,使机器人假肢的能力可以改善对地形变化的适应性以及增强的预血液化。然而,它还增加了对假体控制的令人愉快的有意识的负担。因此,在本文中,我们的目标是提出一个混合控制器,该混合控制器将人类的激动控制与机械手术假肢的内在控制器相结合,使截肢者能够积极地控制假体,有意识地注意力。在这项初步研究中,设计了一种自适应斜坡行走的混合控制器。斜坡估计器嵌入内在控制器中,以使用通过假体传感器测量的信号来估计前一步的地面斜率。并且肌电控制器允许截肢者通过无与伦比收缩其残留的肌肉来传达对假体控制器的斜坡变化,其电拍摄信号被映射到斜率增量。混合控制器组合这两个结果以获得估计的斜率。在这项研究中招募了一个男性进行映射截肢主题。实验结果表明,内在斜率估计器产生了令人满意的估计结果,平均绝对误差为0.70±0.54度。通过添加截肢者的激动控制,混合控制器能够预测即将到来的斜率变化。

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