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发展一种用于人机交互评估的三维相对运动方法。

Development of a 3D Relative Motion Method for Human-Robot Interaction Assessment.

机构信息

Robotics & Multibody Mechanics (R&MM) Research Group, Department of Mechanical Engineering, Vrije Universiteit Brussel, 1050 Brussels, Belgium.

Department of Biomedical Engineering, Colombian School of Engineering Julio Garavito, Bogota 111166, Colombia.

出版信息

Sensors (Basel). 2022 Mar 21;22(6):2411. doi: 10.3390/s22062411.

DOI:10.3390/s22062411
PMID:35336593
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8952123/
Abstract

Exoskeletons have been assessed by qualitative and quantitative features known as performance indicators. Within these, the ergonomic indicators have been isolated, creating a lack of methodologies to analyze and assess physical interfaces. In this sense, this work presents a three-dimensional relative motion assessment method. This method quantifies the difference of orientation between the user's limb and the exoskeleton link, providing a deeper understanding of the Human-Robot interaction. To this end, the AGoRA exoskeleton was configured in a resistive mode and assessed using an optoelectronic system. The interaction quantified a difference of orientation considerably at a maximum value of 41.1 degrees along the sagittal plane. It extended the understanding of the Human-Robot Interaction throughout the three principal human planes. Furthermore, the proposed method establishes a performance indicator of the physical interfaces of an exoskeleton.

摘要

外骨骼已通过定性和定量特征(称为性能指标)进行了评估。在这些特征中,已经分离出了人体工程学指标,这导致缺乏分析和评估物理接口的方法。在这种情况下,本工作提出了一种三维相对运动评估方法。该方法量化了用户肢体和外骨骼连杆之间的方向差异,从而更深入地了解人机交互。为此,AGoRA 外骨骼在抵抗模式下进行了配置,并使用光电系统进行了评估。交互量化了沿矢状面的最大 41.1 度的方向差异。它扩展了对人机交互的理解,涵盖了三个主要的人体平面。此外,所提出的方法为外骨骼的物理接口建立了一个性能指标。

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本文引用的文献

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Performance Evaluation of Lower Limb Exoskeletons: A Systematic Review.下肢外骨骼机器人性能评估的系统综述。
IEEE Trans Neural Syst Rehabil Eng. 2020 Jul;28(7):1573-1583. doi: 10.1109/TNSRE.2020.2989481.
2
A Review of Robot-Assisted Lower-Limb Stroke Therapy: Unexplored Paths and Future Directions in Gait Rehabilitation.机器人辅助下肢中风治疗综述:步态康复中未探索的路径与未来方向
Front Neurorobot. 2020 Apr 15;14:19. doi: 10.3389/fnbot.2020.00019. eCollection 2020.
3
Gait Phase Detection for Lower-Limb Exoskeletons using Foot Motion Data from a Single Inertial Measurement Unit in Hemiparetic Individuals.
使用单惯性测量单元的脚部运动数据对偏瘫个体的下肢外骨骼进行步态相位检测。
Sensors (Basel). 2019 Jul 6;19(13):2988. doi: 10.3390/s19132988.
4
Compliant lower limb exoskeletons: a comprehensive review on mechanical design principles.顺应性下肢外骨骼:机械设计原理的综合评述。
J Neuroeng Rehabil. 2019 May 9;16(1):55. doi: 10.1186/s12984-019-0517-9.
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Fiber Bragg Gratings in CYTOP Fibers Embedded in a 3D-Printed Flexible Support for Assessment of Human⁻Robot Interaction Forces.嵌入3D打印柔性支架的CYTOP光纤中的光纤布拉格光栅,用于评估人机交互力。
Materials (Basel). 2018 Nov 16;11(11):2305. doi: 10.3390/ma11112305.
6
Do powered over-ground lower limb robotic exoskeletons affect outcomes in the rehabilitation of people with acquired brain injury?电动地面下肢机器人外骨骼对后天性脑损伤患者的康复效果有影响吗?
Disabil Rehabil Assist Technol. 2019 Nov;14(8):764-775. doi: 10.1080/17483107.2018.1499137. Epub 2018 Sep 21.
7
Initial Outcomes from a Multicenter Study Utilizing the Indego Powered Exoskeleton in Spinal Cord Injury.一项利用Indego动力外骨骼治疗脊髓损伤的多中心研究的初步结果。
Top Spinal Cord Inj Rehabil. 2018 Winter;24(1):78-85. doi: 10.1310/sci17-00014. Epub 2017 Nov 20.
8
Fundamental motor skills: A systematic review of terminology.基本运动技能:术语的系统综述
J Sports Sci. 2018 Apr;36(7):781-796. doi: 10.1080/02640414.2017.1340660. Epub 2017 Jun 21.
9
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