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

You might also read

Related Articles

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

Sort by
Same author

[Differences in DNA methylation alterations in blood samples from patients with silicosis and coal workers' pneumoconiosis].

Wei sheng yan jiu = Journal of hygiene research·2026
Same author

Zwitterionic peptide dendrimer-based nanocarriers with enhanced stability and biocompatibility for cancer therapy.

Colloids and surfaces. B, Biointerfaces·2026
Same author

[Influential factors on abnormal symptoms of respiratory and skin irritation towards workers in carbon raw anode plants].

Wei sheng yan jiu = Journal of hygiene research·2026
Same author

AI-powered non-destructive testing for smart manufacturing of carbon-negative biopolymer-bound soil composite.

Communications engineering·2026
Same author

Role of leisure and sleep in promoting daily physical activity in adults with down syndrome.

Health psychology and behavioral medicine·2025
Same author

Clinical Gait Evaluation with Neuromuscular Impairments (Clinical GENI) for spastic cerebral palsy.

Frontiers in human neuroscience·2025

Related Experiment Video

Updated: Jun 27, 2025

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

8.8K

Ubiquitous Gait Analysis through Footstep-Induced Floor Vibrations.

Yiwen Dong1, Hae Young Noh1

  • 1Department of Civil and Environmental Engineering, Stanford University, Stanford, CA 94305, USA.

Sensors (Basel, Switzerland)
|April 27, 2024
PubMed
Summary

This study introduces a novel, low-cost method for gait analysis using floor vibrations. This non-intrusive approach accurately estimates gait parameters for continuous health monitoring.

Keywords:
gait analysisspatiotemporal parameterstructural vibration

More Related Videos

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

9.1K
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

4.5K

Related Experiment Videos

Last Updated: Jun 27, 2025

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

8.8K
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

9.1K
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

4.5K

Area of Science:

  • Biomechanics
  • Sensor Technology
  • Digital Health

Background:

  • Quantitative gait analysis is crucial for diagnosing and monitoring neurological and musculoskeletal disorders.
  • Traditional gait analysis methods (cameras, wearables) have practical limitations in daily life settings.
  • There is a need for non-intrusive, privacy-friendly, and continuous gait monitoring solutions.

Purpose of the Study:

  • To develop and validate a novel gait analysis system using passive floor vibration sensing.
  • To estimate key temporal, spatial, and gait health parameters from floor vibrations.
  • To address the challenge of floor type variability and develop adaptive algorithms.

Main Methods:

  • Utilized vibration sensors mounted on the floor to passively capture footstep-generated vibrations.
  • Developed floor-adaptive algorithms to generalize feature extraction across different surfaces.
  • Conducted real-world walking experiments with 20 adults, analyzing over 12,000 gait cycles on concrete and wooden floors.

Main Results:

  • Achieved high accuracy in estimating temporal parameters (90.5%, RMSE 0.08s).
  • Demonstrated good accuracy for spatial parameters (71.3%, RMSE 0.38m).
  • Showcased strong accuracy for gait health indicators (92.3%, RMSPE 7.7%).

Conclusions:

  • Passive floor vibration sensing offers a viable, low-cost, and non-intrusive method for gait analysis.
  • The developed floor-adaptive algorithms enable reliable gait parameter estimation in diverse environments.
  • This technology holds promise for continuous, in-home gait health monitoring and early disease detection.