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

Measuring Acceleration Due to Gravity01:12

Measuring Acceleration Due to Gravity

1.3K
Consider a coffee mug hanging on a hook in a pantry. If the mug gets knocked, it oscillates back and forth like a pendulum until the oscillations die out.
A simple pendulum can be described as a point mass and a string. Meanwhile, a physical pendulum is any object whose oscillations are similar to a simple pendulum, but cannot be modeled as a point mass on a string because its mass is distributed over a larger area. The behavior of a physical pendulum can be modeled using the principles of...
1.3K
Distance Problem01:29

Distance Problem

91
When an object's velocity changes over time, the total distance traveled can be determined by summing small displacement intervals over short increments. This approach approximates the true distance through numerical summation and the use of integral calculus. An estimate of the total displacement can be obtained by measuring velocity at regular intervals and multiplying each value by the corresponding time step.If a runner accelerates over the first three seconds of a race, speed measurements...
91

You might also read

Related Articles

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

Sort by
Same author

Effects of Egocentric and Exocentric Supervisor Viewpoint Perspectives on Motion Plan Legibility and Decision Support in Automated Spacecraft Docking Maneuvers.

Human factors·2026
Same author

Biomechanical Analysis of the Field Hockey Sweep Skill Using Inertial Measurement Units.

Sensors (Basel, Switzerland)·2026
Same author

A Functional Sensor-to-Segment Calibration Method Reduces the Effects of Varied Sensor Placement on Estimates of Segment Angular Excursion.

Journal of applied biomechanics·2026
Same author

Simplifying Prediction of Intended Grasp Type: Accelerometry Performs Comparably to Combined EMG-Accelerometry in Individuals With and Without Amputation.

Sensors (Basel, Switzerland)·2025
Same author

A Comprehensive Dataset for Image Segmentation in Custom Manufacturing Environments.

Scientific data·2025
Same author

An inertial sensor-based comprehensive analysis of manual wheelchair user mobility during daily life in people with SCI.

PloS one·2025
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Feb 18, 2026

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

8.7K

Estimating Stair Running Performance Using Inertial Sensors.

Lauro V Ojeda1, Antonia M Zaferiou2, Stephen M Cain3

  • 1Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA. lojeda@umich.edu.

Sensors (Basel, Switzerland)
|November 18, 2017
PubMed
Summary
This summary is machine-generated.

Foot-mounted inertial measurement units (IMUs) offer a new way to study stair running biomechanics. Stance time during stair running is the key factor predicting overall speed.

Keywords:
human performanceinertial measurement unitsmotion trackingstair runningwearable sensors

More Related Videos

Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis
08:08

Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis

Published on: May 8, 2014

17.4K
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

9.2K

Related Experiment Videos

Last Updated: Feb 18, 2026

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

8.7K
Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis
08:08

Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis

Published on: May 8, 2014

17.4K
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

9.2K

Area of Science:

  • Biomechanics
  • Sports Science
  • Wearable Technology

Background:

  • Stair running is a demanding aerobic exercise for athletes, soldiers, and recreational runners.
  • Traditional optical motion tracking systems face practical limitations in capturing multi-step stair running biomechanics.
  • Need for advanced, unobtrusive methods to analyze stair running performance.

Purpose of the Study:

  • To propose and validate the use of foot-mounted inertial measurement units (IMUs) for unrestricted stair running motion capture.
  • To develop computational methods for estimating foot velocity, trajectory, and stride metrics during stair running.
  • To analyze performance trends in stair running using IMU-derived data.

Main Methods:

  • Utilized foot-mounted inertial measurement units (IMUs) for motion capture without external references.
  • Developed algorithms leveraging stance phase stationary periods and known stair geometry for orientation and trajectory estimation.
  • Calculated stride metrics including timing, trajectory, energy, and force from IMU data.

Main Results:

  • Successfully estimated foot velocity and trajectory during stair running using IMUs.
  • Analysis of data from eleven participants revealed performance trends.
  • Stance time was identified as the strongest predictor of speed in both ascending and descending stair running, showing high correlation with stride time.

Conclusions:

  • Foot-mounted IMUs provide a viable and practical solution for studying stair running biomechanics in diverse environments.
  • The developed computational methods accurately capture key kinematic and kinetic parameters.
  • Stance time is a critical determinant of stair running speed, offering insights for training and performance optimization.