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相关概念视频

Functional Classification of Joints01:09

Functional Classification of Joints

4.0K
Functional Classification of Joints
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses  or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
An...
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Movement Joints in Buildings01:27

Movement Joints in Buildings

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Movement joints in buildings are essential design elements that accommodate inevitable motions caused by various factors such as temperature changes, moisture content variations, and structural deflections. These motions, if not considered in design and construction, can lead to unsightly or dangerous damage. Movement joints are incorporated in different forms to manage these stresses and allow materials to move without causing distress.
The simplest type of movement joints, working joints, are...
114
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

458
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
458
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

219
Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the...
219
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

399
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
399
Kinematic Equations for Rotation01:30

Kinematic Equations for Rotation

320
In mechanics, when one observes a rigid body in rotational motion with constant angular acceleration, it is possible to establish equations for its rotational kinematics. This process resembles how linear kinematics are dealt with in simpler motion studies.
For instance, imagine a point A on a rigid body engaged in circular motion. The translational velocity of this particular point can be calculated by taking the time derivatives of the displacement equation, which essentially measures the...
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相关实验视频

Updated: Jun 23, 2025

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

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传感器特征输入对跨简单运动的关节角度预测的影响.

David Hollinger1, Mark C Schall2, Howard Chen3

  • 1Department of Mechanical Engineering, Auburn University, Auburn, AL 36849, USA.

Sensors (Basel, Switzerland)
|June 19, 2024
PubMed
概括

增加更多的惯性测量单位 (IMU) 或将它们放置在不相邻的身体部位上并没有提高人类运动意图预测 (HMIP) 的准确性. 传感器数量和位置对使用机器学习预测关节角度的影响最小.

关键词:
这些都是加速仪,加速度计.陀螺仪的陀螺仪是指一个陀螺仪.运动意图预测 运动意图预测可以穿戴的传感器.

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MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
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MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

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

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相关实验视频

Last Updated: Jun 23, 2025

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
MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
09:46

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

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

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科学领域:

  • 生物力学 生物力学
  • 可穿戴技术可穿戴技术
  • 医疗保健中的机器学习

背景情况:

  • 像惯性测量单元 (IMU) 这样的可穿戴传感器在机器学习中越来越多地用于健康方面的人类意图识别.
  • 关于IMU的数量和位置如何影响人类移动意图预测 (HMIP) 在联合层面的研究有限.

研究的目的:

  • 分析IMU数量和位置对简单人体运动预测关节角度准确性的影响.
  • 确定最佳的传感器配置,以最大限度地提高机器学习在HMIP中的预测准确度.

主要方法:

  • 训练了一种随机森林算法,以使用IMU输入信号的各种组合来预测未来的关节角度.
  • 在不同的IMU配置下,对脚,膝盖和关节的评估预测准确性 (RMSE).

主要成果:

  • 添加相邻的IMU并没有显著改善关节角度预测的准确性 (例如,脚RMSE 1.92°与3.32°).
  • 包括非相邻的IMU也未能提高预测准确性 (例如,脚RMSE5.35°与5.55°).
  • 在简单的移动过程中,IMU的数量和位置对预测未来的关节角度的影响最小.

结论:

  • 添加IMU,无论是相邻的还是非相邻的,都不会大大提高预测未来联合角度的准确性.
  • 目前的关节角度输入足以预测简单的运动,额外的IMU提供有限的预测效益.