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Related Concept Videos

Position and Displacement01:31

Position and Displacement

The position of an object defines its location relative to a convenient frame of reference at any particular time. A frame of reference is an arbitrary set of axes from which the position and motion of an object are described. Earth is often used as a frame of reference, and we often describe the position of an object as it relates to stationary objects on Earth. For example, a rocket launch could be described in terms of the position of the rocket with respect to Earth as a whole. On the other...
Position and Displacement01:31

Position and Displacement

The position of an object defines its location relative to a convenient frame of reference at any particular time. A frame of reference is an arbitrary set of axes from which the position and motion of an object are described. Earth is often used as a frame of reference, and we often describe the position of an object as it relates to stationary objects on Earth. For example, a rocket launch could be described in terms of the position of the rocket with respect to Earth as a whole. On the other...
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...
Planar Rigid-Body Motion01:22

Planar Rigid-Body Motion

Understanding the movement of a rigid body in planar motion involves recognizing that every particle within this body is traversing a path that maintains a consistent distance from a specific plane. This concept is fundamental in the study of physics and mechanical engineering, and it allows us to comprehend better how objects move in space.
Planar motion is typically divided into three distinct categories. The first is rectilinear translation, demonstrated by a subway train that moves along...
Curvilinear Motion: Rectangular Components01:23

Curvilinear Motion: Rectangular Components

Curvilinear motion characterizes the movement of a particle or object along a curved path, notably evident when envisioning a car navigating a winding road. If the car starts at point A, its position vector is established within a fixed frame of reference, where the ratio of the position vector to its magnitude signifies the unit vector pointing in the position vector's direction.
As the car advances, its position evolves over time. Quantifying the car's velocity involves computing the time...
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

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 instrumental in...

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Related Experiment Video

Updated: Jun 22, 2026

Direct Linear Transformation for the Measurement of In-Situ Peripheral Nerve Strain During Stretching
06:26

Direct Linear Transformation for the Measurement of In-Situ Peripheral Nerve Strain During Stretching

Published on: January 12, 2024

Going, going, gone: localizing abrupt offsets of moving objects.

Gerrit W Maus1, Romi Nijhawan

  • 1Psychology Department, University of Sussex, Brighton, United KIngdom. gwmaus@ucdavis.edu

Journal of Experimental Psychology. Human Perception and Performance
|June 3, 2009
PubMed
Summary
This summary is machine-generated.

When a moving object vanishes, our visual system misjudges its location. This study reveals a two-process mechanism for visual object localization, balancing extrapolated motion and sudden trajectory changes.

Related Experiment Videos

Last Updated: Jun 22, 2026

Direct Linear Transformation for the Measurement of In-Situ Peripheral Nerve Strain During Stretching
06:26

Direct Linear Transformation for the Measurement of In-Situ Peripheral Nerve Strain During Stretching

Published on: January 12, 2024

Area of Science:

  • Visual perception
  • Cognitive neuroscience
  • Computational neuroscience

Background:

  • The visual system's ability to accurately localize moving objects is crucial for interaction.
  • Sudden object disappearances pose a challenge to visual localization, often leading to perceived misalignments.

Purpose of the Study:

  • To investigate how the visual system localizes abruptly disappearing moving objects.
  • To elucidate the underlying neural mechanisms and computational models of visual object tracking and localization.

Main Methods:

  • Experiment 1: Presentation of aligned moving objects, with one disappearing abruptly, followed by observer reports of alignment.
  • Experiment 2: Systematic variation of object speed and offset presentation to assess perceived displacement.
  • Experiment 3: Manipulation of object disappearance duration and contrast reduction to modulate internal position representations.

Main Results:

  • Observers perceived misaligned objects upon abrupt disappearance, with the continuing object appearing to lead.
  • Perceived forward displacement was dependent on object speed, while offsets were localized accurately.
  • Manipulating the balance between extrapolated motion and transient signals resulted in intermediate perceived positions.

Conclusions:

  • A two-process model explains visual localization of disappearing objects, integrating a spatially extrapolated internal model with transient signals.
  • This mechanism dynamically adjusts perceived object position based on available motion and change signals.
  • The proposed mechanism optimizes spatio-temporal localization accuracy by leveraging all available positional information.