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

Orthogonal Trajectories01:26

Orthogonal Trajectories

265
Orthogonal trajectories describe the geometric relationship between two families of curves that intersect each other at right angles. One illustrative case involves a family of parabolas that open sideways along the x-axis. These curves share a common shape but differ by a scaling parameter, resulting in a set of curves that all pass through the origin and widen at different rates.Determining Orthogonal TrajectoriesTo identify the orthogonal trajectories for these parabolas, the first step...
265
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

1.1K
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.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
1.1K
Relative Motion Analysis using Rotating Axes - Acceleration01:22

Relative Motion Analysis using Rotating Axes - Acceleration

1.0K
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...
1.0K

You might also read

Related Articles

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

Sort by
Same author

Risk Factors for the Development of Prosthetic Valve Thrombosis After Systemic Atrioventricular Valve Replacement in Pediatric Patients with a Functional Single Ventricle.

Pediatric cardiology·2026
Same author

A rare case of pediatric cardiac fibroma arising from the pulmonary valve and right ventricular outflow tract presenting with obstructive hemodynamics.

Journal of cardiology cases·2026
Same author

A one-and-a-half repair in a pulmonary atresia intact ventricular septum: A more appropriate final repair strategy.

Annals of pediatric cardiology·2026
Same author

Influence of anti-scatter grids on radiation dose and image quality in cardiac catheterization of children weighing less than 10 kg.

Pediatric radiology·2025
Same author

Cardiac rupture and toxic shock syndrome by invasive group a Streptococcus in a Fontan patient with Asplenia syndrome.

Journal of cardiology cases·2025
Same author

Native liver T1 mapping on magnetic resonance imaging for an evaluation of congestive liver injury in children with congenital heart disease.

The international journal of cardiovascular imaging·2024

Related Experiment Video

Updated: Apr 14, 2026

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb
08:24

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Published on: August 30, 2016

10.9K

2D trajectory estimation during free walking using a tiptoe-mounted inertial sensor.

Koichi Sagawa1, Kensuke Ohkubo2

  • 1Faculty of Science and Technology, Hirosaki University, 3 Bunkyo-cho, Hirosaki, Aomori 036-8561, Japan.

Journal of Biomechanics
|April 25, 2015
PubMed
Summary

This study introduces a precise method for estimating 2D walking trajectories using foot-mounted sensors. The new technique accurately maps forward, backward, and side steps, improving upon existing methods.

Keywords:
Backward walkingForward walkingInertial sensorSide steppingTrajectory estimation

More Related Videos

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
06:52

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

Published on: May 26, 2020

8.8K
Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
10:52

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Published on: April 13, 2016

9.3K

Related Experiment Videos

Last Updated: Apr 14, 2026

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb
08:24

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Published on: August 30, 2016

10.9K
An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
06:52

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

Published on: May 26, 2020

8.8K
Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
10:52

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Published on: April 13, 2016

9.3K

Area of Science:

  • Biomechanics
  • Human Motion Analysis
  • Sensor Technology

Background:

  • Accurate estimation of human walking trajectories is crucial for gait analysis and rehabilitation.
  • Existing methods often struggle with diverse walking patterns like side stepping and backward walking.

Purpose of the Study:

  • To develop and validate an improved method for estimating two-dimensional walking trajectories.
  • To enhance the precision of trajectory estimation during various free walking conditions.

Main Methods:

  • Utilized a tiptoe-mounted inertial sensor to capture acceleration data.
  • Developed statistically derived functions to optimize the integral duration of the 'moving phase' for trajectory calculation.
  • Incorporated gait cycle and angular velocity data (dorsi/plantar flexion, pronation/supination, inversion/eversion) into the estimation model.
  • Validated the method with healthy volunteers performing forward, backward, and side stepping at different cadences and speeds.

Main Results:

  • The proposed method demonstrated high precision in estimating walking trajectories across different free walking types (forward, backward, side stepping).
  • Results showed superior accuracy compared to the constant threshold method, particularly in distinguishing the swing phase.
  • The developed functions effectively minimized the difference between estimated and actual trajectories.

Conclusions:

  • The novel estimation method provides a precise and reliable approach for mapping 2D walking trajectories.
  • This technique offers significant improvements for applications requiring accurate gait analysis, especially in complex movement scenarios.