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Relative Motion Analysis - Velocity01:24

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A stroke engine has a slider-crank mechanism that converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider.
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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.
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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. The absolute velocity of point B is determined by adding the absolute velocity of point A, the relative velocity of point B in the rotating frame, and the effects caused by the angular velocity within the rotating frame.
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Relative Motion Analysis using Rotating Axes-Problem Solving01:29

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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.
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Absolute Motion Analysis- General Plane Motion01:24

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A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...
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Related Experiment Video

Updated: Feb 24, 2026

Using Eye-tracking to Assess the Relative Importance of Visual and Vestibular Input to Subcortical Motion Processing in the Roll Plane
07:24

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Published on: August 22, 2025

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Fast Neural Style Transfer for Motion Data.

Daniel Holden, Ikhsanul Habibie, Ikuo Kusajima

    IEEE Computer Graphics and Applications
    |August 23, 2017
    PubMed
    Summary

    Automating human motion style transfer saves animators time. A new neural network method achieves this thousands of times faster than prior techniques, enabling efficient motion adaptation for diverse characters.

    Area of Science:

    • Computer Graphics
    • Artificial Intelligence
    • Animation

    Background:

    • Automating motion style transfer streamlines animation workflows.
    • Current methods for motion style transfer are often time-consuming.

    Purpose of the Study:

    • To introduce a fast and efficient technique for neural style transfer of human motion data.
    • To enable automatic adaptation of motion styles for different characters.

    Main Methods:

    • Utilized a feed-forward neural network.
    • Trained the network on a large motion database.

    Main Results:

    • Achieved motion style transfer thousands of times faster than optimization-based approaches.
    • Demonstrated efficient adaptation of motion styles for various characters.

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    Conclusions:

    • The proposed framework significantly accelerates the process of motion style transfer.
    • This technique offers a practical solution for saving animators time and resources.