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Kinematic Equations - II01:17

Kinematic Equations - II

9.3K
The second kinematic equation expresses the final position of an object in terms of its initial position, the distance traveled with the initial constant velocity, and the distance traveled due to a change in velocity. Similar to the first kinematic equation, this equation is also only valid when the acceleration is constant throughout the motion of an object.
Suppose a car merges into freeway traffic on a 200 m long ramp. If its initial velocity is 10 m/s and it accelerates at 2 m/s2, then the...
9.3K
Kinematic Equations - III01:18

Kinematic Equations - III

7.4K
The first two kinematic equations have time as a variable, but the third kinematic equation is independent of time. This equation expresses final velocity as a function of the acceleration and distance over which it acts. The fourth kinematic equation does not have an acceleration term and provides the final position of the object at time t in terms of the initial and final velocities. This equation is useful when the value of the constant acceleration is unknown.
Using the kinematic equations,...
7.4K
Kinematic Equations - I01:26

Kinematic Equations - I

10.3K
When an object moves with constant acceleration, the velocity of the object changes at a constant rate throughout the motion. The kinematic equations of motions are derived for such cases where the acceleration of the object is constant. The first kinematic equation gives an insight into the relationship between velocity, acceleration, and time. We can see, for example:
10.3K
Kinematic Equations: Problem Solving01:15

Kinematic Equations: Problem Solving

11.8K
When analyzing one-dimensional motion with constant acceleration, the problem-solving strategy involves identifying the known quantities and choosing the appropriate kinematic equations to solve for the unknowns. Either one or two kinematic equations are needed to solve for the unknowns, depending on the known and unknown quantities. Generally, the number of equations required is the same as the number of unknown quantities in the given example. Two-body pursuit problems always require two...
11.8K
Kinematic Equations for Rotation01:30

Kinematic Equations for Rotation

304
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...
304
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

442
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...
442

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相关实验视频

Updated: May 28, 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

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基于学习的下肢关节动力学估计,使用开源IMU数据.

Benjamin Hur1, Sunin Baek1, Inseung Kang2

  • 1Korea University, School of Mechanical Engineering, 02841, Seoul, South Korea.

Scientific reports
|February 12, 2025
PubMed
概括
此摘要是机器生成的。

本研究提出了一个使用惯性测量单位 (IMU) 进行准确下肢关节动力学估计的深度学习框架. 转移学习使个人化步态分析能够使用最少的数据,在不同人群中表现优于以前的方法.

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A Novel Application of Musculoskeletal Ultrasound Imaging
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A Novel Application of Musculoskeletal Ultrasound Imaging

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Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis
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Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis

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相关实验视频

Last Updated: May 28, 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

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A Novel Application of Musculoskeletal Ultrasound Imaging
10:53

A Novel Application of Musculoskeletal Ultrasound Imaging

Published on: September 17, 2013

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Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis
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Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis

Published on: May 8, 2014

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科学领域:

  • 生物力学 生物力学
  • 机器学习 机器学习
  • 可穿戴技术可穿戴技术

背景情况:

  • 估计下肢关节动力学对于生物力学分析至关重要.
  • 惯性测量单元 (IMU) 提供了一个便携式解决方案,但传统方法需要广泛的校准和数据.
  • 深度学习模型可以克服这些局限性,但通常需要大量的数据集.

研究的目的:

  • 开发和评估一个深度学习框架,用IMU来估计下肢关节动力学.
  • 通过探索不同的培训策略来解决深度学习模型的数据需求.
  • 为了提高基于IMU的动力学估计的概括性和个性化.

主要方法:

  • 利用开源数据集进行培训和评估.
  • 开发了三种不同的培训方法:单用户,多用户和多用户与转移学习.
  • 分析了最佳的IMU放置组合,专注于大腿骨和骨传感器.

主要成果:

  • 单用户培训为个体带来了高准确度,但缺乏通用性.
  • 多用户训练提高了概括性,但由于步态变化而降低了准确性.
  • 转移学习显著提高了新用户使用最小数据的准确性,实现了与反向动力学相当的性能.
  • 在股骨和骨上确定了最佳的IMU放置位置.

结论:

  • 具有转移学习的深度学习框架为使用IMU估计下肢关节动力学提供了有效的解决方案.
  • 这种方法克服了对广泛数据收集和复杂校准的需求,使其适合于不同的人群.
  • 该框架可实现个性化的步态分析,提高临床和现实应用中的效率和可访问性.