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Related Concept Videos

Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
Design Example: Traverse Angle Computations01:25

Design Example: Traverse Angle Computations

Traverse angle computations are a critical component of surveying, used to compute the internal angles within a closed traverse. A traverse consists of a series of connected lines forming a closed loop, often used for land boundary delineation or mapping. Calculating the internal angles ensures accuracy in the traverse geometry and is essential for checking survey data integrity.The process begins with known azimuths and bearings of the traverse sides. Internal angles at each vertex are...

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Related Experiment Video

Updated: May 15, 2026

Using Gold-standard Gait Analysis Methods to Assess Experience Effects on Lower-limb Mechanics During Moderate High-heeled Jogging and Running
06:35

Using Gold-standard Gait Analysis Methods to Assess Experience Effects on Lower-limb Mechanics During Moderate High-heeled Jogging and Running

Published on: September 14, 2017

Optimizing gait template generation from variable-length data: a dynamic dimension warping approach.

Dongnan Jin1, Yali Liu2, Qiuzhi Song1,3

  • 1School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 100081, China.

Scientific Reports
|May 13, 2026
PubMed
Summary
This summary is machine-generated.

A new Dynamic Dimension Warping (DDW) algorithm effectively analyzes human movement data, overcoming challenges with variable-length gait sequences. This method enhances motion template accuracy for sports science and rehabilitation applications.

Keywords:
Dynamic Time Warping (DTW)Dynamic multidimensional spaceGait analysisMotion templateOptimization

More Related Videos

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder
06:54

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder

Published on: March 4, 2018

Related Experiment Videos

Last Updated: May 15, 2026

Using Gold-standard Gait Analysis Methods to Assess Experience Effects on Lower-limb Mechanics During Moderate High-heeled Jogging and Running
06:35

Using Gold-standard Gait Analysis Methods to Assess Experience Effects on Lower-limb Mechanics During Moderate High-heeled Jogging and Running

Published on: September 14, 2017

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder
06:54

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder

Published on: March 4, 2018

Area of Science:

  • Biomechanics
  • Sports Science
  • Data Science

Background:

  • Human movement analysis in sports science faces challenges due to variable gait data lengths (dynamic dimensionality).
  • Inconsistent time-series data lengths hinder traditional optimization algorithms for motion template creation.
  • Accurate motion templates are crucial for performance analysis and rehabilitation.

Purpose of the Study:

  • To introduce a novel Dynamic Dimension Warping (DDW) algorithm for efficient search in dynamic multidimensional spaces.
  • To address the limitations of traditional algorithms in handling variable-length human movement data.
  • To improve the accuracy and efficiency of gait template optimization.

Main Methods:

  • Developed Dynamic Dimension Warping (DDW) algorithm for dynamic multidimensional spaces.
  • Integrated Cross-Dimensional Mapping (CDM) for comparing variable-length sequences using Dynamic Time Warping and Euclidean distance.
  • Employed Optimal Dimension Collection (ODC) to overcome fixed-dimension constraints.

Main Results:

  • DDW demonstrated superior performance in optimizing human gait templates compared to 31 benchmark algorithms.
  • Achieved an average fitness of 9.16, a 41% reduction from the mean, with rapid convergence within 10 generations.
  • Attained global optima in 52.17% of classical function tests, confirming algorithm robustness.

Conclusions:

  • DDW provides an effective optimization framework for complex, dynamic-dimensional problems.
  • The algorithm offers significant methodological value for gait analysis and biomechanical motion assessment.
  • DDW enhances the accuracy of motion templates derived from variable-length human movement data.