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

Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

690
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...
690
Relative Motion Analysis using Rotating Axes - Acceleration01:22

Relative Motion Analysis using Rotating Axes - Acceleration

646
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame. The absolute velocity of point B is determined by adding the absolute velocity of point A, the relative velocity of point B in the rotating frame, and the effects caused by the angular velocity within the rotating frame.
Time differentiation is...
646

You might also read

Related Articles

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

Sort by
Same author

Smart medical beds in patient-care environments of the twenty-first century: a state-of-art survey.

BMC medical informatics and decision making·2018
See all related articles

Related Experiment Video

Updated: Dec 13, 2025

Lower-Limb Biomechanical Characteristics Associated with Unplanned Gait Termination Under Different Walking Speeds
05:52

Lower-Limb Biomechanical Characteristics Associated with Unplanned Gait Termination Under Different Walking Speeds

Published on: August 25, 2020

4.9K

Gait-cycle segmentation method based on lower-trunk acceleration signals and dynamic time warping.

Ignacio Ghersi1, Maria H Ferrando2, Carlos G Fliger1

  • 1Pontificia Universidad Católica Argentina. Facultad de Ingeniería y Ciencias Agrarias. Laboratorio de Biomecánica e Ingeniería para la Salud (LaBIS-FI-UCA), 1600 Alicia Moreau de Justo Ave., Buenos Aires, Argentina.

Medical Engineering & Physics
|July 26, 2020
PubMed
Summary

This study introduces a new system for automatic gait cycle analysis using trunk accelerometers. It improves step detection accuracy and reduces errors, offering a valuable tool for gait research in various populations.

Keywords:
AccelerationDynamic Time WarpingGait cycleInitial contact

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

14.5K
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

9.4K

Related Experiment Videos

Last Updated: Dec 13, 2025

Lower-Limb Biomechanical Characteristics Associated with Unplanned Gait Termination Under Different Walking Speeds
05:52

Lower-Limb Biomechanical Characteristics Associated with Unplanned Gait Termination Under Different Walking Speeds

Published on: August 25, 2020

4.9K
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

14.5K
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

9.4K

Area of Science:

  • Biomechanics
  • Wearable technology
  • Signal processing

Background:

  • Gait cycle identification is crucial for analyzing walking patterns using accelerometer data.
  • Existing methods often require calibration or pre-defined thresholds, limiting their applicability.
  • Reducing step-detection errors is essential for accurate gait analysis.

Purpose of the Study:

  • To develop an automatic gait cycle extraction and analysis system for lower trunk acceleration signals.
  • To overcome limitations of existing gait-event based segmentation methods by eliminating the need for calibration or thresholds.
  • To implement strategies for reducing errors in step detection.

Main Methods:

  • A novel system combining prior strategies with dynamic time warping for gait cycle analysis.
  • Utilizing acceleration signals from the lower trunk.
  • Testing performance on public gait signal databases.

Main Results:

  • Achieved sensitivities in step detection exceeding 99.95% with 100.00% positive predictive value.
  • Step-correction strategies reduced incorrect detections from 57 to 3 out of 7056 steps.
  • Bland-Altman plots and equivalence tests showed good agreement with reference methods (mean difference < 0.003 s, 2% error).

Conclusions:

  • The proposed method offers a robust and accurate approach to automatic gait cycle analysis.
  • It significantly improves step detection accuracy and reduces errors compared to existing methods.
  • This system has the potential to become a valuable research tool for analyzing gait signals across diverse populations.