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Related Concept Videos

Effects of feedback01:24

Effects of feedback

Feedback in control systems plays a critical role in shaping various operational parameters, extending beyond simple error reduction to influence stability, bandwidth, gain, impedance, and sensitivity. Understanding these effects requires examining a basic feedback system characterized by defined input, output, error, and feedback signals.
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...
Feedback control systems01:26

Feedback control systems

Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
Negative and Positive Feedback01:18

Negative and Positive Feedback

Animal organs and organ systems constantly adjust to internal and external changes through a process called homeostasis ("steady state"). Examples of these changes include regulation of the level of glucose or calcium in the blood or internal responses to external temperatures. Homeostasis requires  maintaining an internal dynamic equilibrium:
Feedback Loops01:01

Feedback Loops

In most cases, excessive hormone production is prevented by negative feedback—a loop that starts with a stimulus inducing the release of a particular substance, like a hormone, to maintain a certain level before triggering a signal that results in a decrease in further release of the hormone.
Control Systems01:10

Control Systems

Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
Positive and Negative Feedback Loops01:18

Positive and Negative Feedback Loops

Animal organs and organ systems constantly adjust to internal and external changes through a process called homeostasis ("steady state"). Examples of these changes include regulation of the level of glucose or calcium in the blood or internal responses to external temperatures. Homeostasis requires  maintaining an internal dynamic equilibrium:

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Related Experiment Video

Updated: May 10, 2026

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

Movement Retraining using Real-time Feedback of Performance

Published on: January 17, 2013

Harnessing and understanding feedback technology in applied settings.

Elissa Phillips1, Damian Farrow, Kevin Ball

  • 1Movement Science, Australian Institute of Sport, Canberra, ACT, Australia, elissa.phillips@ausport.gov.au.

Sports Medicine (Auckland, N.Z.)
|July 6, 2013
PubMed
Summary
This summary is machine-generated.

Augmented feedback enhances skill learning and performance. Integrating motor learning and biomechanics through multidisciplinary research is key to advancing feedback applications in sports and medicine.

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Area of Science:

  • Movement science
  • Motor learning
  • Biomechanics

Background:

  • Augmented feedback research often falls into two distinct disciplines: motor learning and biomechanics.
  • Motor learning focuses on feedback content/timing in lab settings with simple tasks.
  • Biomechanics emphasizes quantifying movement effectiveness using measurement technology.

Purpose of the Study:

  • To bridge the gap between motor learning and biomechanics in augmented feedback research.
  • To advocate for a multidisciplinary approach to understand feedback's practical application.
  • To explore the use of emergent feedback technologies in elite sport and clinical settings.

Main Methods:

  • Review of existing research from motor learning and biomechanics perspectives.
  • Analysis of the limitations of isolated disciplinary approaches.
  • Identification of opportunities for integrated, multidisciplinary research.

Main Results:

  • Current approaches to augmented feedback are often discipline-specific, limiting practical application.
  • A multidisciplinary focus is needed to advance understanding of feedback in real-world settings.
  • Emergent feedback technologies offer new avenues for skill development.

Conclusions:

  • Advancing augmented feedback requires integrating motor learning and biomechanics.
  • Future research should adopt a multidisciplinary approach, utilizing new technologies.
  • This integration will enhance the development of skilled performance in sports and clinical practice.