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Related Concept Videos

Relative Motion Analysis - Acceleration01:10

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A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...
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Related Experiment Video

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Validation of Accelerometry Data to Identify Movement Patterns During Agility Testing.

Wilshaw R Stevens1, Anthony M Anderson1, Kirsten Tulchin-Francis1

  • 1Scottish Rite for Children, Dallas, TX, United States.

Frontiers in Sports and Active Living
|December 21, 2020
PubMed
Summary
This summary is machine-generated.

This study developed an algorithm using accelerometers to accurately time foot contact and lift-off during agility tests. This method provides reliable split and lag times, enhancing performance analysis.

Keywords:
accelerometeragility testingautomationstopwatchtiming

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Area of Science:

  • Biomechanics
  • Sports Science
  • Wearable Technology

Background:

  • Accurate timing of movement is crucial for assessing athletic performance.
  • Traditional timing methods may lack precision for specific movement phases.

Purpose of the Study:

  • To develop and validate an algorithm for detecting foot contact and off-timing using accelerometers.
  • To assess the reliability of accelerometer-derived timings in an agility test.

Main Methods:

  • Participants performed a modified Edgren Side Step Test wearing ankle accelerometers.
  • Accelerometer data was used to determine start, foot contact, and foot-off events.
  • Accelerometer-derived timings were compared against stopwatch and video analysis.

Main Results:

  • No significant difference was found between accelerometer-based overall time and stopwatch time.
  • Bland-Altman analysis showed very good agreement for split and lag times compared to video.
  • Inter- and intra-rater reliability for event identification was moderate to excellent.

Conclusions:

  • An accelerometer-based algorithm can accurately determine foot contact and off-timing during agility tests.
  • This method reliably provides split and lag times, offering additional insights beyond overall test duration.