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Related Concept Videos

Motion of a Projectile01:23

Motion of a Projectile

Projectile motion becomes evident when a player kicks the ball into the air. The launch angle, or the angle at which the ball is kicked, plays a crucial role in determining the trajectory of the projectile. As the ball soars through the air, influenced solely by gravity, its motion can be dissected into two independent velocity components: the horizontal and the vertical.
Horizontal motion, governed by the initial kick, maintains a constant velocity throughout the flight of the soccer ball.
Projectile Motion: Equations01:26

Projectile Motion: Equations

Projectile motion is commonly observed in our day-to-day life. For example, a basketball thrown by a player, an arrow shot from a bow, and kids jumping into the pool, all undergo projectile motion.
Any projectile motion problem can be solved by using the following strategy:

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Related Experiment Video

Updated: May 24, 2026

Three-Dimensional Finger Motion Tracking during Needling: A Solution for the Kinematic Analysis of Acupuncture Manipulation
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Movement pattern recognition in basketball free-throw shooting.

Andrea Schmidt1

  • 1German Sport University Cologne, Institute of Cognitive and Team/Racket Sport Research, Am Sportpark Müngersdorf 6, 50933 Cologne, Germany. andrea.schmidt@dshs-koeln.de

Human Movement Science
|March 10, 2012
PubMed
Summary
This summary is machine-generated.

Basketball free-throw movement patterns are unique to each player and skill level. Advanced network analysis methods reveal individual characteristics and classify throwing styles with high stability.

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Last Updated: May 24, 2026

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Area of Science:

  • Biomechanics
  • Sports Science
  • Motor Control

Background:

  • Understanding the biomechanics of skilled motor actions is crucial for performance enhancement.
  • Basketball free-throw execution involves complex kinematic chains and individual technique variations.

Purpose of the Study:

  • To analyze basketball free-throw movement patterns across different skill levels.
  • To explore the informational content of movement patterns and assess pattern analysis methodologies.
  • To investigate the application of artificial neural networks for kinematic analysis.

Main Methods:

  • Employed a combination of qualitative and quantitative methods, including triangulation of data.
  • Utilized Dynamically Controlled Networks (DyCoN), a type of artificial neural network.
  • Calculated a 'complex feature' integrating angle displacements and velocities of kinematic chain articulations.

Main Results:

  • Successfully classified throwing patterns and established their stability and variability.
  • Detected individual characteristics and distinct movement phases within the shooting actions.
  • Demonstrated that movement patterns are shaped by both individual technique and skill level.

Conclusions:

  • Movement patterns in basketball free throws are highly individualized and skill-dependent.
  • Dynamically Controlled Networks (DyCoN) provide a stable and effective method for analyzing complex movement patterns.
  • Triangulation of data confirmed the individual nature of movement organizations in free-throw shooting.