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

Clinical Validation of Pupil Response During Walking in Parkinson's Disease.

Sensors (Basel, Switzerland)·2026
Same author

Retraining gait in Parkinson's Disease via a personalised app: A study protocol.

PloS one·2026
Same author

A prospective analysis of falls in Parkinson's disease: Does physical capacity moderate the relationship between walking amount and falls rates?

Journal of Parkinson's disease·2026
Same author

Co-designing the future: End-user involvement in digital interventions.

NPJ digital medicine·2026
Same author

Parkinson's disease gait rehabilitation at scale: Insights on personalised smartphone-based music cueing.

PloS one·2026
Same author

Cortical Correlates of Balance During Single and Dual Tasks in Huntington's Disease: A Preliminary fNIRS Study.

Neurorehabilitation and neural repair·2025
Same journal

Analysis of strength degradation of coal and rock masses and stability of mined areas under long term immersion environment.

PloS one·2026
Same journal

Biogenic Silver-Selenium nanocomposite with anticancer activity and potent efficacy against vancomycin-resistant Staphylococcus aureus.

PloS one·2026
Same journal

Preparation and physicochemical characterization of a biodegradable chitosan/carboxymethyl cellulose hydrogel synthesized in NaOH/urea medium.

PloS one·2026
Same journal

Action-guilt, survivor-guilt, and depression in combat-related PTSD.

PloS one·2026
Same journal

Explainable machine learning for predicting activities of daily living at discharge in stroke patients: A retrospective study using SHAP interpretability.

PloS one·2026
Same journal

Deep learning based two-way feature depiction model for brain tumor detection.

PloS one·2026
See all related articles

Related Experiment Video

Updated: Jul 16, 2025

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

9.2K

Wearables for running gait analysis: A study protocol.

Rachel Mason1, Alan Godfrey2, Gillian Barry1

  • 1Department of Sport, Exercise and Rehabilitation, Northumbria University, Newcastle, United Kingdom.

Plos One
|September 11, 2023
PubMed
Summary
This summary is machine-generated.

This study compares different wearable sensor grades for running gait analysis. It assesses their validity, reliability, and usability in lab and real-world settings for injury prevention and performance.

More Related Videos

Influence of Step-Width Manipulation on Running Biomechanics
06:53

Influence of Step-Width Manipulation on Running Biomechanics

Published on: February 28, 2025

509
Substantiating Appropriate Motion Capture Techniques for the Assessment of Nordic Walking Gait and Posture in Older Adults
09:37

Substantiating Appropriate Motion Capture Techniques for the Assessment of Nordic Walking Gait and Posture in Older Adults

Published on: May 12, 2016

8.8K

Related Experiment Videos

Last Updated: Jul 16, 2025

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

9.2K
Influence of Step-Width Manipulation on Running Biomechanics
06:53

Influence of Step-Width Manipulation on Running Biomechanics

Published on: February 28, 2025

509
Substantiating Appropriate Motion Capture Techniques for the Assessment of Nordic Walking Gait and Posture in Older Adults
09:37

Substantiating Appropriate Motion Capture Techniques for the Assessment of Nordic Walking Gait and Posture in Older Adults

Published on: May 12, 2016

8.8K

Area of Science:

  • Biomechanics
  • Sports Science
  • Wearable Technology

Background:

  • Quantitative running gait analysis is crucial for injury risk assessment, recovery, and performance evaluation.
  • Wearable devices enable gait analysis in diverse settings, but selecting appropriate device grades (research, commercial, multimodal) is challenging due to limited comparative data.

Purpose of the Study:

  • To outline a protocol for examining different grades of wearable sensors for running gait analysis in healthy individuals.
  • To assess the analytical validity, reliability, and clinical usability of research-grade, commercial, and novel multimodal wearables.

Main Methods:

  • The study protocol involves examining analytical validity and reliability of wearables in a controlled laboratory setting.
  • It also includes analytical validation in real-world settings and exploration of clinical validation and usability across different injury histories and performance levels.
  • Wearable devices evaluated include the research-grade Ax6, commercial DorsaVi ViMove2, and novel multimodal DANU Sports System.

Main Results:

  • Pilot study examining analytical validity and reliability of research-grade, commercial, and high-end multimodal wearables in a controlled lab setting.
  • Analytical validation of different wearable grades in a real-world setting.
  • Exploration of clinical validation and usability for injury history and performance levels.

Conclusions:

  • The protocol provides a framework for evaluating and comparing different grades of wearable technology for running gait analysis.
  • Findings will inform selection of appropriate devices for research, clinical applications, and performance monitoring, enhancing the utility of running gait analysis.