Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Projectile Motion01:20

Projectile Motion

18.0K
An object thrown in the air follows a parabolic path under the influence of Earth's gravitational force. The motion of such an object is called projectile motion, and the object itself a projectile. The parabolic path followed by the projectile is called the trajectory. Some common examples of projectile motion are the launching of fireworks, a golf ball in the air, meteors entering the Earth's atmosphere, and the firing of bullets.
When an object falls under gravity and has no...
18.0K
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

455
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...
455
Projectile Motion: Example01:18

Projectile Motion: Example

10.7K
The theory of projectile motion is very useful for players of several sports to improve their performance. For example, a javelin thrower needs to throw their javelin in such a way that it travels as far as possible. The javelin thrower takes a short run-up to increase the initial speed of the javelin. The range of a projectile is at its maximum at a 45° angle so javelin throwers try to angle their throw as close to 45° as possible.
When we speak of the range (R) of a projectile on...
10.7K
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

549
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...
549
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

273
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...
273
Motion of a Projectile01:23

Motion of a Projectile

1.3K
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.
1.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Multisensory Contributions in Joint Actions: A Scoping Review.

Perceptual and motor skills·2026
Same author

Prediction of Center-of-Mass Kinematics of Sensopro Exercises with Neural Network Models.

Sensors (Basel, Switzerland)·2026
Same author

Exploiting prior knowledge in continuous decision-making under uncertainty: the case of tennis experts.

Experimental brain research·2026
Same author

Humans can learn bimodal priors in complex sensorimotor behaviour.

Proceedings. Biological sciences·2026
Same author

From simple lab tasks to the virtual court: Bayesian integration in tennis.

Journal of neurophysiology·2025
Same author

A Simple Model for Estimating the Kinematics of Tape-like Unstable Bases from Angular Measurements near Anchor Points.

Sensors (Basel, Switzerland)·2025
Same journal

Targeting intracranial electrical stimulation to network regions defined within individuals causes network-level effects.

Journal of neurophysiology·2026
Same journal

When "Noise" Isn't Simply Noise: Deterministic Postural Drive During Noisy Galvanic Vestibular Stimulation (nGVS).

Journal of neurophysiology·2026
Same journal

Abrupt Scene Onsets and Gradually Emerging Scene Information Produce Distinct EEG Decoding Dynamics.

Journal of neurophysiology·2026
Same journal

From discovery to translation: charting a course for the <i>Journal of Neurophysiology</i>.

Journal of neurophysiology·2026
Same journal

Neuromodulatory Strategies Overcome Multiple Inevitable Impairments of Cerebral Palsy.

Journal of neurophysiology·2026
Same journal

Acute Fentanyl Toxicity:From Opioid-Induced to Hypoxia-Mediated Pathophysiology.

Journal of neurophysiology·2026
See all related articles

Related Experiment Video

Updated: Sep 19, 2025

Movement Retraining using Real-time Feedback of Performance
08:16

Movement Retraining using Real-time Feedback of Performance

Published on: January 17, 2013

13.5K

Risk optimization during ongoing movement: insights from movement and gaze behavior in throwing.

Stephan Zahno1, Damian Beck1, Ralf Kredel1

  • 1Institute of Sport Science, University of Bern, Bern, Switzerland.

Journal of Neurophysiology
|June 6, 2025
PubMed
Summary
This summary is machine-generated.

Humans adjust movements to avoid penalties, optimizing risk assessment during action, not just before. This complex sensorimotor behavior extends findings from simple tasks to dynamic execution.

Keywords:
complex tasksmotor controlmotor noisemotor uncertaintystatistical decision theory

More Related Videos

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
07:48

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing

Published on: April 4, 2025

587
Frame-by-Frame Video Analysis of Idiosyncratic Reach-to-Grasp Movements in Humans
10:51

Frame-by-Frame Video Analysis of Idiosyncratic Reach-to-Grasp Movements in Humans

Published on: January 15, 2018

8.5K

Related Experiment Videos

Last Updated: Sep 19, 2025

Movement Retraining using Real-time Feedback of Performance
08:16

Movement Retraining using Real-time Feedback of Performance

Published on: January 17, 2013

13.5K
Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
07:48

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing

Published on: April 4, 2025

587
Frame-by-Frame Video Analysis of Idiosyncratic Reach-to-Grasp Movements in Humans
10:51

Frame-by-Frame Video Analysis of Idiosyncratic Reach-to-Grasp Movements in Humans

Published on: January 15, 2018

8.5K

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Motor Control

Background:

  • Sensorimotor behavior requires handling motor noise and risk.
  • Previous studies focused on simple finger-pointing tasks.
  • Generalization to complex movements remained unclear.

Purpose of the Study:

  • Investigate sensorimotor behavior under risk in a complex virtual reality throwing task.
  • Determine if risk assessment is pre-planned or optimized during movement.
  • Examine the influence of penalty magnitude and proximity on movement planning.

Main Methods:

  • Participants performed a virtual reality throwing task with targets overlapping penalties.
  • Manipulated penalty magnitude and distance between target and penalty zones.
  • Measured final gaze fixation (aiming point) and ball impact location.
  • Analyzed movement trajectories.

Main Results:

  • In penalty conditions, gaze fixations and impacts shifted away from penalties.
  • Larger penalties and smaller distances induced greater shifts.
  • Impact locations shifted more and were closer to optimal than aim points.
  • Risk aversion increased during movement execution.

Conclusions:

  • Risk evaluation in complex sensorimotor tasks is not solely pre-movement.
  • Optimization of risk occurs dynamically during movement execution.
  • The motor system continuously refines action choices for higher expected rewards.