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RGB-D Camera Based Walking Pattern Recognition by Support Vector Machines for a Smart Rollator.基于RGB-D相机的支持向量机智能助行器行走模式识别
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A New Controller for a Smart Walker Based on Human-Robot Formation.一种基于人机编队的智能助行器新型控制器。
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Effects of Innovative WALKBOT Robotic-Assisted Locomotor Training on Balance and Gait Recovery in Hemiparetic Stroke: A Prospective, Randomized, Experimenter Blinded Case Control Study With a Four-Week Follow-Up.创新型WALKBOT机器人辅助运动训练对偏瘫性中风患者平衡和步态恢复的影响:一项为期四周随访的前瞻性、随机、实验者盲法病例对照研究。
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Enhancing stance phase propulsion during level walking by combining FES with a powered exoskeleton for persons with paraplegia.通过将功能性电刺激(FES)与动力外骨骼相结合,增强截瘫患者在平地上行走时的站立期推进力。
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Design and evaluation of the LOPES exoskeleton robot for interactive gait rehabilitation.用于交互式步态康复的LOPES外骨骼机器人的设计与评估。
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一种用于非接触式人类辅助与康复的3D计算机视觉引导机器人伴侣。

A 3D Computer Vision-Guided Robotic Companion for Non-Contact Human Assistance and Rehabilitation.

作者信息

Shen Tao, Afsar Md Rayhan, Zhang He, Ye Cang, Shen Xiangrong

机构信息

College of Aeronautics and Engineering, Kent State University.

Department of Mechanical Engineering, The University of Alabama.

出版信息

J Intell Robot Syst. 2020 Dec;100(3-4):911-923. doi: 10.1007/s10846-020-01258-1. Epub 2020 Sep 21.

DOI:10.1007/s10846-020-01258-1
PMID:33776207
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7990042/
Abstract

With the rapid aging of the U.S. population, the mobility impairment is becoming a more and more challenging issue that affects a large number of individuals. The research presented in this paper aims at helping the mobility-challenged individuals with a novel robotic companion, which is a walker-type mobile robot capable of accompanying the human user and keeping user at the center for protection and possible power assistance. The robotic companion is equipped with a 3D computer vision system, which provides a unique capability of sensing the human-robot relative position/orientation without physical contact or the need for wearable sensors. As such, the robotic companion enables the user to walk freely with minimum disturbance to his/her normal gait, relieving the user from the physical and cognitive loads associated with the use of traditional assistive devices. For the development of the robotic companion, the authors designed and fabricated a low-cost, differentially steered mobile robotic platform, and also developed a unique image processing system to extract the position/orientation information from the 3D camera-captured images. Furthermore, an advanced motion control system was developed for the robotic companion, which provides novel solutions to the unique challenges such as sway reduction and noise reduction in digital differentiation. To quantify the performance, component and system-level experimentation was conducted, and the results demonstrated that robotic companion and its key components function as desired and the system is expected to reduce the user load and improve the user mobility in real-world scenarios.

摘要

随着美国人口的迅速老龄化,行动障碍正成为一个越来越具有挑战性的问题,影响着大量人群。本文所展示的研究旨在借助一种新型机器人伴侣来帮助行动不便的个体,该机器人伴侣是一种步行式移动机器人,能够陪伴人类用户并让用户处于中心位置以提供保护和可能的动力辅助。该机器人伴侣配备了一个3D计算机视觉系统,它具备一种独特能力,即无需物理接触或使用可穿戴传感器就能感知人机相对位置/方向。因此,该机器人伴侣能让用户以对其正常步态干扰最小的方式自由行走,将用户从与使用传统辅助设备相关的身体和认知负担中解脱出来。为了开发这种机器人伴侣,作者设计并制造了一个低成本、差速转向的移动机器人平台,还开发了一种独特的图像处理系统,用于从3D相机拍摄的图像中提取位置/方向信息。此外,还为该机器人伴侣开发了一个先进的运动控制系统,它为诸如数字微分中的摆动减少和噪声降低等独特挑战提供了新颖的解决方案。为了量化性能,进行了组件级和系统级实验,结果表明机器人伴侣及其关键组件按预期运行,并且该系统有望在实际场景中减轻用户负担并提高用户的行动能力。