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

Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

1.6K
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
1.6K
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

645
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...
645
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

5.1K
In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
5.1K
Adjusting a Traverse01:12

Adjusting a Traverse

305
In the site survey of a four-sided traverse, internal angles are essential to ensure geometric accuracy. The survey revealed that the sum of the measured internal angles was 359 degrees and 48 minutes, which is 12 minutes less than the expected 360 degrees. This discrepancy signals an error likely arising from measurement inaccuracies during the fieldwork.To rectify this error, the adjustment process involved distributing the 12-minute shortfall equally across the four internal angles. By...
305
Uncertainty: Overview00:59

Uncertainty: Overview

1.4K
In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
1.4K
Design Example: Measuring Distance Between Two Points with Obstructions01:10

Design Example: Measuring Distance Between Two Points with Obstructions

320
When measuring distances in areas with physical obstructions, such as a lake in a field, surveyors must employ techniques to calculate accurate lengths without direct line measurements. One effective method is the offset technique, which allows for precise distance estimation over inaccessible stretches.In this scenario, a surveyor must measure a side of an area that crosses a lake. Since the measuring tape cannot span the lake, the surveyor begins by establishing a baseline that aligns with...
320

You might also read

Related Articles

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

Sort by
Same author

Spatial proximity and scene grammar: shaping spatial representations for memory-guided actions in naturalistic environments.

Scientific reports·2026
Same author

Individual and ensemble perception in naturalistic scenes: Effects of context and presentation time.

PloS one·2026
Same author

Predictive use of environmental regularities requires action relevance.

Scientific reports·2026
Same author

Allocentric spatial representations dominate when switching between real and virtual worlds.

Journal of vision·2025
Same author

Head engagement during visuomotor tracking is determined by postural challenges and aging.

Journal of neurophysiology·2025
Same author

On the temporal dynamics of head and eye movements for walking on real-world surfaces.

Acta psychologica·2025

Related Experiment Video

Updated: Dec 24, 2025

The Impact of Motor Task Conditions on Goal-Directed Arm Reaching Kinematics and Trunk Compensation in Chronic Stroke Survivors
15:00

The Impact of Motor Task Conditions on Goal-Directed Arm Reaching Kinematics and Trunk Compensation in Chronic Stroke Survivors

Published on: May 2, 2021

3.9K

Reaching around obstacles accounts for uncertainty in coordinate transformations.

Parisa Abedi Khoozani1,2, Dimitris Voudouris3,4, Gunnar Blohm1,2,5

  • 1Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada.

Journal of Neurophysiology
|April 9, 2020
PubMed
Summary

The brain adjusts reaching movements around obstacles when head posture changes, compensating for increased movement variability caused by head roll. This ensures accurate navigation despite altered spatial transformations.

Keywords:
head rollobstacle avoidancereach variabilitystochastic reference frame transformations

More Related Videos

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

8.7K
Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

7.0K

Related Experiment Videos

Last Updated: Dec 24, 2025

The Impact of Motor Task Conditions on Goal-Directed Arm Reaching Kinematics and Trunk Compensation in Chronic Stroke Survivors
15:00

The Impact of Motor Task Conditions on Goal-Directed Arm Reaching Kinematics and Trunk Compensation in Chronic Stroke Survivors

Published on: May 2, 2021

3.9K
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

8.7K
Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

7.0K

Area of Science:

  • Neuroscience
  • Motor Control
  • Human Movement Science

Background:

  • Reaching to visual targets requires transforming spatial information into the arm's coordinate system.
  • Increased uncertainty in this coordinate transformation, such as during head roll, elevates movement variability and affects decisions.
  • It remains unclear if the brain accounts for this added variability in movement planning and execution.

Purpose of the Study:

  • To investigate whether the brain incorporates increased movement variability from head roll into reaching and obstacle avoidance strategies.
  • To determine if compensatory mechanisms are employed during reaching tasks with altered coordinate transformations.

Main Methods:

  • Participants performed an obstacle avoidance reaching task under varying head roll conditions (straight, 30° clockwise, 30° counterclockwise).
  • Reaching variability and obstacle avoidance behavior (e.g., movement direction, curvature) were analyzed with and without visual feedback of the hand.
  • Coordinate transformation uncertainty was manipulated by head tilt.

Main Results:

  • Head roll significantly increased reaching movement variability, consistent with prior research.
  • While head roll did not affect collision rates, it systematically altered obstacle avoidance behavior.
  • Participants demonstrated adjusted preferred directions for passing obstacles and increased trajectory curvature, indicating enhanced safety margins.

Conclusions:

  • The brain actively considers and compensates for increased movement variability arising from coordinate transformations during head roll.
  • Compensatory strategies, such as modifying reaching trajectories, are employed to maintain accurate goal-directed movements.
  • These findings provide evidence for the brain's adaptive capacity in motor control under conditions of altered body geometry and sensory uncertainty.