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首页> 外文期刊>Selected Topics in Signal Processing, IEEE Journal of >A Gaussian Mixture Framework for Co-Operative Rehabilitation Therapy in Assistive Impedance-Based Tasks
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A Gaussian Mixture Framework for Co-Operative Rehabilitation Therapy in Assistive Impedance-Based Tasks

机译:基于辅助阻抗的任务中用于合作康复治疗的高斯混合框架

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摘要

Rehabilitation robots can aid patients to practice activities of daily living in order to enhance muscle strength and recover motor functions. In this paper, we focus on robot-assisted rehabilitation for co-operative therapy tasks that elicit impedance-based behaviors from the patient. For instance, if the rehabilitation robot is controlled to behave as a self-closing door and if pulling this simulated door open is the therapy task the patient needs to complete, the patient’s hand should display a minimum required impedance to complete the task. When a patient is unable to complete the task, determining the minimum assistance to be provided to the patient by the rehabilitation robot such that the task can be accomplished is of interest. In this paper, we compare the impedance behavior of a therapist in multiple trials of the task with that of the patient using a learning from demonstration (LfD) technique that utilizes Gaussian mixture models. First and during the demonstration phase, the therapist performs the tasks individually so that the robot gains insight into how a healthy person would perform the task. Next and during the reproduction phase, the robot will co-operate with the patient in the therapist’s absence and provide him/her with adaptive external assistance on a patient-specific and as-needed basis so that the task can be completed. To encourage active participation, provision of assistance to the patient is coupled to the variability observed in the therapist’s behavior across various trials of the task. Therefore, the presented framework transfers the constraints and underlying characteristics of a given impedance-based task to the rehabilitation robot leading to co-operative interaction between the robot and the patient where the robot provides just-enough assistance. Experimental results involving 1-D and 2-D impedance-based tasks show that the proposed framework effectively provides the patient with assistance as neede- during co-operative therapy.
机译:康复机器人可以帮助患者练习日常生活活动,以增强肌肉力量和恢复运动功能。在本文中,我们专注于协作治疗任务的机器人辅助康复,这些任务会引起患者基于阻抗的行为。例如,如果康复机器人被控制为具有自动关闭功能,并且将模拟门拉开是患者需要完成的治疗任务,则患者的手应显示出所需的最小阻抗才能完成任务。当患者无法完成任务时,确定要由康复机器人提供给患者的最小协助,以使任务可以完成。在本文中,我们通过利用高斯混合模型的示威学习(LfD)技术,将治疗师在多项任务试验中的阻抗行为与患者的阻抗行为进行了比较。首先,在演示阶段,治疗师将单独执行任务,以便机器人了解健康人将如何执行任务。接下来,在生殖阶段,机器人将在治疗师不在的情况下与患者合作,并根据患者的具体需求为他/她提供适应性的外部帮助,以便完成任务。为了鼓励积极参与,为患者提供帮助与在各种任务试验中观察到的治疗师行为的差异性有关。因此,提出的框架将给定的基于阻抗的任务的约束和基本特征传递给康复机器人,从而导致机器人与患者之间的协作交互,其中机器人提供了足够的帮助。涉及基于1-D和2-D阻抗的任务的实验结果表明,所提出的框架可以在合作治疗期间有效地为患者提供需要的帮助。

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