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 25, 2026

Home-Based Monitor for Gait and Activity Analysis
07:24

Home-Based Monitor for Gait and Activity Analysis

Published on: August 8, 2019

A concurrent comparison of inertia sensor-based walking speed estimation methods.

Annemarie Laudanski1, Shuozhi Yang, Qingguo Li

  • 1Department of Mechanical and Materials Engineering, Queen’s University, Kingston, ON, Canada. a.laudanski@queensu.ca

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 19, 2012
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

Single-Cell Profiling Identifies SLC2A5-Mediated Fructose Metabolism as a Vulnerability in Primary CNS Lymphoma.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Risk Factors, Cancer Types and Prognostic Significance of Second Primary Cancer After Early-, Intermediate- and Late-Onset Colorectal Cancer: A Retrospective Study in a Chinese High-Volume Cancer Center.

Journal of investigative surgery : the official journal of the Academy of Surgical Research·2026
Same author

Shifting paradigms in 30,427 surgical colorectal cancer cases (2008-2023): the impact of endoscopic screening on caseload complexity and the value of minimally invasive quality.

Surgical endoscopy·2026
Same author

Negative CSF mNGS Results and Early Shunt Placement in Post-infectious Hydrocephalus: A Retrospective Cohort Study.

World neurosurgery·2026
Same author

Patterns of recurrence and outcomes of poor responders to neoadjuvant long-course chemoradiotherapy for rectal cancer.

Journal of gastrointestinal oncology·2026
Same author

E3 ubiquitin ligase COP1-mediated GSK3β degradation activates β-catenin signaling to facilitate colorectal cancer cell proliferation.

Acta biochimica et biophysica Sinica·2026

Shank-mounted inertial measurement units (IMUs) provide more accurate walking speed estimates than foot-mounted IMUs. This finding is crucial for gait analysis, especially in patients with abnormal foot motion.

Area of Science:

  • Biomechanics
  • Wearable Technology
  • Gait Analysis

Background:

  • Accurate walking speed estimation is vital for gait analysis and clinical assessment.
  • Inertial Measurement Units (IMUs) offer a portable solution for motion tracking.
  • Comparing shank-mounted versus foot-mounted IMUs for gait speed estimation requires further investigation.

Purpose of the Study:

  • To concurrently compare the accuracy of walking speed estimation using shank-mounted and foot-mounted IMUs.
  • To evaluate the performance of these IMUs under normal and toe-out walking conditions.
  • To determine the potential benefits of shank-mounted IMUs for patients with gait abnormalities.

Main Methods:

  • Utilized shank- and foot-mounted IMUs to collect angular velocity and linear acceleration data.

More Related Videos

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

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults
08:56

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults

Published on: November 7, 2014

Related Experiment Videos

Last Updated: May 25, 2026

Home-Based Monitor for Gait and Activity Analysis
07:24

Home-Based Monitor for Gait and Activity Analysis

Published on: August 8, 2019

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

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults
08:56

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults

Published on: November 7, 2014

  • Segmented gait data into individual stride cycles based on the stance leg's cyclic pattern.
  • Integrated IMU data over each stride cycle to estimate walking speed.
  • Compared estimated speeds with known treadmill speeds in 10 healthy subjects under normal and toe-out conditions.

    • Main Results:

    • Shank-mounted IMUs demonstrated higher accuracy, with a maximum Root Mean Square Error (RMSE) of 0.09 m/s (normal) and 0.10 m/s (toe-out).
    • Foot-mounted IMUs showed lower accuracy, with a maximum RMSE of 0.14 m/s (normal) and 0.26 m/s (toe-out).
    • Shank-mounted IMUs performed significantly better, especially in toe-out conditions.

    Conclusions:

    • Shank-mounted IMUs are more accurate for estimating walking speed compared to foot-mounted IMUs.
    • The superior performance of shank-mounted IMUs is particularly relevant for clinical applications involving patients with abnormal foot motions.
    • This technology holds promise for objective and precise gait assessment in diverse populations.