首页> 外文会议>Annual International Conference of the IEEE Engineering in Medicine and Biology Society >Combining human volitional control with intrinsic controller on robotic prosthesis: A case study on adaptive slope walking
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Combining human volitional control with intrinsic controller on robotic prosthesis: A case study on adaptive slope walking

机译:将人的意志控制与固有控制器相结合的机器人假肢:以自适应坡道行走为例

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摘要

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:降低下肢截肢者的意志能力可以自愿控制机器人假体,可以提高其对地形变化的适应性并增强本体感受。但是,这也增加了截肢者控制假肢的意识负担。因此,在本文中,我们旨在提出一种混合控制器,该混合控制器将人的意志控制与本机控制器结合在机器人胫骨假体上,从而使截肢者能够在无意识的情况下主动控制假体。在这项初步研究中,设计了一种用于自适应斜坡行走的混合控制器。斜率估计器嵌入到固有控制器中,以使用假体传感器测量的信号来估计上一步的地面斜率。肌电控制器允许截肢者通过自愿收缩其残余肌肉,将坡度变化传达给假肢控制器,其肌电信号映射到坡度增量。混合控制器将这两个结果结合起来以获得估计的斜率。这项研究招募了一名男性经胫截肢者。实验结果表明,本征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。通过增加截肢者的意志控制,混合动力控制器能够预测即将到来的坡度变化。

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