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 Experiment Video

Updated: May 14, 2026

3D Kinematic Gait Analysis for Preclinical Studies in Rodents
10:19

3D Kinematic Gait Analysis for Preclinical Studies in Rodents

Published on: August 3, 2019

Full body gait analysis with Kinect.

Moshe Gabel1, Ran Gilad-Bachrach, Erin Renshaw

  • 1The Department of Computer Science, Technion - Israel Institute of Technology, Israel. mgabel@cs.technion.ac.il

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|February 1, 2013
PubMed
Summary
This summary is machine-generated.

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

A generative approach for semantic auditing of electronic health records.

NPJ digital medicine·2026
Same author

Understanding Food Allergy Risk Factors: Current Knowledge and Recent Advances Using a Large Retrospective Cohort Analysis.

International archives of allergy and immunology·2025
Same author

Machine learning in epidemiology: An introduction, comparison with traditional methods, and a case study of predicting extreme longevity.

Annals of epidemiology·2025
Same author

Clinically meaningful interpretability of an AI model for ECG classification.

NPJ digital medicine·2025
Same author

Guidance on reporting the use of natural language processing methods.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases·2024
Same author

Impact of body mass index and examination type on utilization of screening programs: A big data study.

Preventive medicine·2024
Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
See all related articles

This study introduces an affordable, non-intrusive gait analysis system using a Kinect sensor. It enables comprehensive health monitoring and continuous tracking at home.

Area of Science:

  • Biomedical Engineering
  • Human Motion Analysis
  • Rehabilitation Technology

Background:

  • Human gait is a crucial health indicator, but current analysis systems are often costly, intrusive, or require controlled lab settings.
  • Limitations in accessibility hinder the widespread clinical and home-based application of gait analysis for health monitoring and rehabilitation.

Purpose of the Study:

  • To develop an accurate, economical, and non-intrusive gait analysis system for comprehensive health assessment.
  • To leverage a single, inexpensive 3D sensor for detailed gait parameter extraction, including arm kinematics.
  • To enable continuous gait tracking in home environments, overcoming the limitations of traditional systems.

Main Methods:

  • Utilized a Kinect 3D sensor for non-intrusive data acquisition, eliminating the need for markers or wearable sensors.

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

Related Experiment Videos

Last Updated: May 14, 2026

3D Kinematic Gait Analysis for Preclinical Studies in Rodents
10:19

3D Kinematic Gait Analysis for Preclinical Studies in Rodents

Published on: August 3, 2019

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

  • Developed algorithms to extract comprehensive gait information from the entire body, including standard stride parameters and arm kinematics.
  • Improved stride interval measurement accuracy by integrating data from multiple body segments.

    • Main Results:

    • The system accurately captures detailed gait information, including standard stride metrics and arm movement patterns.
    • Demonstrated enhanced accuracy in measuring stride intervals by analyzing data from the whole body.
    • Validated the system's effectiveness as an economical and non-intrusive solution for gait analysis.

    Conclusions:

    • The proposed Kinect-based system offers an accurate, affordable, and non-intrusive method for human gait analysis.
    • The technology facilitates comprehensive gait parameter extraction and can be applied to continuous monitoring in home settings.
    • This approach has significant potential for improving health diagnosis, monitoring, and rehabilitation through accessible gait analysis.