Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Stereotype Content Model02:16

Stereotype Content Model

The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence categorization, a person will feel...
Mechanical Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
However, in reality, no machine can be truly ideal, and all of them experience some...
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least squares (OLS)...
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

From autonomy to alliance: Robotic foundation models must learn with us, not just for us.

Science robotics·2026
Same author

Eccentric finger joint movements for different grip types in sport climbing.

Sports biomechanics·2026
Same author

AI in therapeutic and assistive exoskeletons and exosuits: Influences on performance and autonomy.

Science robotics·2025
Same author

Automated Evaluation of Urodynamic Examinations Through Local Linear Models: Validation on Spinal Cord Injury Individuals.

IEEE journal of translational engineering in health and medicine·2025
Same author

Augmenting rehabilitation robotics with spinal cord neuromodulation: A proof of concept.

Science robotics·2025
Same author

Barriers and Facilitators to the Use of Wearable Robots as Assistive Devices: Qualitative Study With Older Adults and Physiotherapists.

JMIR rehabilitation and assistive technologies·2024
Same journal

Shoulder-wearable soft robot for assisting older adults in scapular stretching.

Wearable technologies·2026
Same journal

Battlefield exoskeleton usability for lower-limb trauma in prolonged field care: A mixed-methods approach.

Wearable technologies·2026
Same journal

Feasibility of a new soft ankle exoskeleton on people with dropfoot post-stroke.

Wearable technologies·2026
Same journal

Concerted control framework for human-exoskeleton co-adaptation using ground reaction forces.

Wearable technologies·2026
Same journal

Posture clip: Sit properly or I won't let you work.

Wearable technologies·2026
Same journal

Effects of a wearable-based intervention in overweight and obese adolescents: A randomized controlled trial considering gender, baseline activity, and intervention exposure.

Wearable technologies·2026
查看所有相关文章

相关实验视频

Updated: Jun 23, 2026

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
06:58

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

Published on: November 6, 2015

9.5K

一个算法来减少人类机器人界面在可穿戴机器人的姿势估计合规错误的算法.

Gleb Koginov1,2, Kanako Sternberg1, Peter Wolf1

  • 1Sensory-Motor Systems Lab, Institute of Robotics and Intelligent Systems, Zürich, Switzerland.

Wearable technologies
|March 15, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种机器学习算法,以改善可穿戴机器人姿势估计. 这种新的方法显著减少了估计用户大腿角度的错误,增强了机器人控制和用户支持.

关键词:
控制 控制 控制 控制外骨是外骨的组成部分.在外衣上穿出了外套.智能整形手术是智能整形手术.康复 机器人 康复 机器人

更多相关视频

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb
08:24

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Published on: August 30, 2016

10.2K
An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
06:52

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

Published on: May 26, 2020

7.9K

相关实验视频

Last Updated: Jun 23, 2026

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
06:58

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

Published on: November 6, 2015

9.5K
Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb
08:24

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Published on: August 30, 2016

10.2K
An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
06:52

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

Published on: May 26, 2020

7.9K

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
  • 机器学习 机器学习

背景情况:

  • 准确的人体姿势估计对于可穿戴机器人控制器至关重要.
  • 人机接口的合规性可能会在姿势估计中引发重大错误.
  • 现有的方法与人机交互的动态和顺从性质作斗争.

研究的目的:

  • 开发和验证用于纠正可穿戴机器人的姿势估计错误的机器学习算法.
  • 为了提高用于可穿戴机器人控制的大腿段角度估计的准确性.
  • 评估算法在各种步行速度和辅助级别的有效性.

主要方法:

  • 收集了运动捕捉和可穿戴机器人的数据,来自8名参与者在跑步机上行走.
  • 使用光学运动捕捉来测量用户和机器人 (Myosuit) 之间的相对位移.
  • 训练了一个梯度增强模型 (XGBoost),使用用户和机器人的数据来纠正机械合规错误.

主要成果:

  • 减少了从6.3°到2.5°的大腿段角度估计的根平均平方误差 (RMSE).
  • 在大腿角估计中的平均最大误差从13.1°降低到5.9°.
  • 在所有测试的辅助力级别和步行速度中观察到显著的改善.

结论:

  • 机器学习为可穿戴机器人中准确估计用户姿势提供了一个有希望的解决方案.
  • 开发的算法有效地纠正了机械合规错误.
  • 增强的姿势估计可以提高辅助可穿戴机器人的性能和安全.