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相关实验视频

Updated: Jul 8, 2025

Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity

Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity

Published on: June 12, 2019

人类手臂度估计方法的验证开发用于地面物理相互作用实验

Tarani Kanth Kamma, Sambad Regmi, Devin Burns

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|December 12, 2023

概括

这项研究验证了一种用于在物理人机交互 (pHRI) 期间估计人类手臂性的新方法. 该技术准确地测量了刚度,这对于开发先进的地面机器人至关重要.

科学领域:

机器人技术机器人技术机器人技术
生物力学生物力学
人与机器人的交互

背景情况:

开发用于地面任务的物理互动机器人需要了解人类在互动过程中的生物力学.
估计人类手臂的硬度是朝着这种理解迈出的关键一步,特别是在物理人机交互 (pHRI) 方面.
之前的方法在地面pHRI中面临着短时间的数据持续时间和有限的重复的挑战.

研究的目的:

为了验证先前开发的手臂度估计技术,用于地面pHRI.
用被动弹设置和人类实验来评估方法的准确性.
证明该方法能够区分实验条件的能力.

主要方法:

使用已知刚度值的被动弹设置进行验证.
人类实验模拟坐着达到任务.
应用一项先前开发的手臂度估计技术.

主要成果:

该方法准确地估计了被动弹刚度,误差小于0.5%.
测量的人类手臂度与现有文献中报道的值相似.
该技术成功地区分了不同的实验条件 (例如,早期与晚期试验,运动变化).

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An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor

Published on: February 12, 2018

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

相关实验视频

Last Updated: Jul 8, 2025

Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity

Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity

Published on: June 12, 2019

An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor

An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor

Published on: February 12, 2018

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

结论:

经过验证的手臂度估计方法对于地面pHRI是可靠的.
这种技术可以为设计用于人类运动辅助和康复的机器人提供信息.
该方法识别实验条件的能力提高了它在人机交互研究中的实用性.