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Related Concept Videos

Hierarchy of Motor Control01:18

Hierarchy of Motor Control

The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
Kinematic Equations: Problem Solving01:15

Kinematic Equations: Problem Solving

When analyzing one-dimensional motion with constant acceleration, the problem-solving strategy involves identifying the known quantities and choosing the appropriate kinematic equations to solve for the unknowns. Either one or two kinematic equations are needed to solve for the unknowns, depending on the known and unknown quantities. Generally, the number of equations required is the same as the number of unknown quantities in the given example. Two-body pursuit problems always require two...
Muscle Coordination and Action01:24

Muscle Coordination and Action

Muscle coordination is a complex and finely tuned process essential for smooth and purposeful movements like flexion, extension, adduction, abduction, and rotation. The human body orchestrates the actions of various muscles working in concert, each with a specific role. Four functional types describe how muscles work together: agonist, antagonist, synergist, and fixator.
Agonists
Agonist muscles, often called prime movers, are the primary muscles responsible for producing a specific movement.
Motor Units01:13

Motor Units

The motor unit is a fundamental component of the neuromuscular system and plays a crucial role in coordinating muscle contractions. It consists of a somatic motor neuron, which connects and controls multiple skeletal muscle fibers, forming a single functional segment. The axon of the motor neuron branches out and establishes synaptic connections known as neuromuscular junctions with individual muscle fibers within the motor unit.
Motor units come in different sizes, with smaller units...
Kinematic Equations - III01:18

Kinematic Equations - III

The first two kinematic equations have time as a variable, but the third kinematic equation is independent of time. This equation expresses final velocity as a function of the acceleration and distance over which it acts. The fourth kinematic equation does not have an acceleration term and provides the final position of the object at time t in terms of the initial and final velocities. This equation is useful when the value of the constant acceleration is unknown.
Using the kinematic equations,...
Kinematic Equations - II01:17

Kinematic Equations - II

The second kinematic equation expresses the final position of an object in terms of its initial position, the distance traveled with the initial constant velocity, and the distance traveled due to a change in velocity. Similar to the first kinematic equation, this equation is also only valid when the acceleration is constant throughout the motion of an object.
Suppose a car merges into freeway traffic on a 200 m long ramp. If its initial velocity is 10 m/s and it accelerates at 2 m/s2, then the...

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Related Experiment Video

Updated: Jun 15, 2026

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

Motor abundance contributes to resolving multiple kinematic task constraints.

Geetanjali Gera1, Sandra Freitas, Mark Latash

  • 1University of Delaware, Newark, Delaware, USA.

Motor Control
|March 19, 2010
PubMed
Summary

This study shows that motor abundance helps control hand movements for tasks requiring object orientation. This motor control strategy effectively manages multiple task demands without interference.

Related Experiment Videos

Last Updated: Jun 15, 2026

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

Area of Science:

  • Motor control
  • Human movement science
  • Robotics

Background:

  • Understanding how humans control complex movements is crucial for robotics and rehabilitation.
  • Motor abundance, the redundancy in the human motor system, is hypothesized to aid in managing multiple task constraints.

Purpose of the Study:

  • To investigate the role of motor abundance in object transport and placing tasks with varying orientation requirements.
  • To determine how the central nervous system utilizes motor abundance to stabilize hand movements under positional and orientational constraints.

Main Methods:

  • The Uncontrolled Manifold (UCM) approach was used to analyze joint configuration variance.
  • Participants performed object transport and placing tasks with precise and minimal orientation requirements.
  • Analyses focused on the stability of the hand's spatial path and orientation.

Main Results:

  • Orientation constraints did not significantly impact the stability of the hand's spatial path.
  • Orientation was only weakly stabilized during the late transport phase, suggesting no default synergy for orientation.
  • Orientation stabilization became prominent during the adjustment phase when precise orientation was critical for task success.

Conclusions:

  • Motor abundance allows for simultaneous resolution of multiple task constraints (position and orientation) without conflict.
  • The findings support the hypothesis that motor abundance is a key mechanism for flexible and adaptable motor control.
  • This has implications for designing more adaptable robotic systems and understanding motor learning deficits.