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Related Concept Videos

Fixed Action Patterns01:06

Fixed Action Patterns

A fixed action pattern (FAP) is a specific, hard-wired sequence of behaviors that occurs in response to an external stimulus, called a sign stimulus. The behavior is “fixed” because it is essentially unchangeable—proceeding similarly across individuals of a species every time it occurs.
Muscle Coordination and Action01:24

Muscle Coordination and Action

Muscle coordination is a complex and finely tuned process essential for smooth and purposeful movements like flexion, extension, adduction, abduction, and rotation. The human body orchestrates the actions of various muscles working in concert, each with a specific role. Four functional types describe how muscles work together: agonist, antagonist, synergist, and fixator.
Agonists
Agonist muscles, often called prime movers, are the primary muscles responsible for producing a specific movement.
Anatomical Movements00:51

Anatomical Movements

Anatomical movements refer to the various actions or motions that can be performed by the body's joints and muscles. These movements are described using specific terms to provide a standardized way of discussing and understanding the range of motion at different joints.
Here are some common anatomical movements:
Flexion and extension motions are in the sagittal (anterior–posterior) plane of motion. These movements take place at the shoulder, hip, elbow, knee, wrist, metacarpophalangeal,...
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

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...
Kinematic Equations: Problem Solving01:15

Kinematic Equations: Problem Solving

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...
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

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 drone...

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Related Experiment Video

Updated: May 7, 2026

Corticospinal Excitability Modulation During Action Observation
12:33

Corticospinal Excitability Modulation During Action Observation

Published on: December 31, 2013

Exemplar-based human action pose correction.

Wei Shen, Ke Deng, Xiang Bai

    IEEE Transactions on Cybernetics
    |September 24, 2013
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces an exemplar-based method to improve human pose estimation accuracy, especially under occlusion. The approach corrects initial pose estimates, enhancing action recognition and computer vision applications.

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

    Published on: April 21, 2023

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    Last Updated: May 7, 2026

    Corticospinal Excitability Modulation During Action Observation
    12:33

    Corticospinal Excitability Modulation During Action Observation

    Published on: December 31, 2013

    Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
    09:41

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

    Published on: April 21, 2023

    Area of Science:

    • Computer Vision
    • Human Pose Estimation
    • Action Recognition

    Background:

    • Xbox Kinect's success highlights computer vision's potential in gaming and action recognition.
    • Accurate human pose estimation from depth images is crucial but challenging, particularly with occlusion.
    • Current pose estimation systems struggle with accuracy when human bodies are significantly obscured.

    Purpose of the Study:

    • To propose an exemplar-based method for correcting inaccurate human pose estimations.
    • To enhance the accuracy of pose correction by learning systematic biases from exemplar data.
    • To extend the method with pose tags for further improvements in accuracy.

    Main Methods:

    • Developed an exemplar-based approach to learn and correct initial human pose estimates.
    • Leveraged action-specific exemplar information to learn an inhomogeneous systematic bias.
    • Incorporated pose tags into a conditional model to refine pose correction accuracy.

    Main Results:

    • Achieved significant improvements in joint-based skeleton correction compared to existing methods, including Kinect.
    • Demonstrated enhanced accuracy in tag prediction, further validating the pose correction method.
    • Showcased improved accuracy in facial landmark correction, indicating broader applicability.

    Conclusions:

    • The proposed exemplar-based method effectively corrects human pose estimation errors, especially under occlusion.
    • The technique offers significant advancements over current systems for action recognition and related computer vision tasks.
    • The algorithm's success in facial landmark correction suggests its potential to enhance various detection and estimation systems.