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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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Relative Motion Analysis using Rotating Axes01:25

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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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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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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.
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Planar Rigid-Body Motion01:22

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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.
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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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A reach motion generation algorithm based on posture memories.

Taekbeom Yoo1, Woojin Park1,2

  • 1Department of Industrial Engineering, Seoul National University, Seoul, South Korea.

Work (Reading, Mass.)
|December 24, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a new algorithm to simulate a wide range of human reach motions. It uses posture memories to generate diverse and feasible movements for ergonomics design.

Keywords:
Digital human modelingcomputer-aided ergonomicshuman motion simulationreachabilityvirtual ergonomics

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Area of Science:

  • Human-Computer Interaction
  • Biomechanics
  • Ergonomics

Background:

  • Existing human motion simulation models typically generate only one realistic motion per scenario.
  • This limitation restricts the exploration of diverse human movement capabilities.

Purpose of the Study:

  • To present a novel algorithm for generating a comprehensive set of human reach motions.
  • To approximate the full spectrum of physically and physiologically feasible motions for given scenarios.

Main Methods:

  • The algorithm employs personalized posture memories, created through probabilistic generation and registration.
  • It generates multiple hand paths and selects postures from memories to create diverse, feasible motions.

Main Results:

  • The algorithm computes and visualizes a set of human reach motions.
  • It effectively approximates the range of feasible human motions for specific tasks.

Conclusions:

  • The algorithm aids in understanding how workplace design affects human motion variability.
  • It contributes to computer-aided ergonomics by analyzing feasible motion behaviors.