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

Prediction of Nocturnal Hypoglycemia Following Exercise in Type 1 Diabetes Using Temporally Structured CGM-Derived Digital Biomarkers.

Sensors (Basel, Switzerland)·2026
Same author

Editorial: Biomechanical and cognitive pattern assessment in human-machine collaborative tasks for industrial robotics.

Frontiers in neurorobotics·2026
Same author

Role of Electroencephalography in the Assessment of Cortical Responses Elicited by Music Therapy in Burn Patients Undergoing Intensive Care.

Sensors (Basel, Switzerland)·2026
Same author

Clinically interpretable nomogram combining body composition and clinicopathological features for one year survival prediction in advanced solid tumors.

Scientific reports·2026
Same author

Assessment of the Psycho-Emotional State Induced by Open-Skill Sport Activity: An Electroencephalography-Based Study.

Sensors (Basel, Switzerland)·2026
Same author

Heart Sound Classification for Early Detection of Cardiovascular Diseases Using XGBoost and Engineered Acoustic Features.

Sensors (Basel, Switzerland)·2026

Related Experiment Video

Updated: May 21, 2025

An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor
07:25

An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor

Published on: February 12, 2018

6.9K

Inertial Sensing for Human Motion Analysis: Enabling Sensor-to-Body Calibration Through an Anatomical and Functional

Mara Scattolini, Andrea Tigrini, Federica Verdini

    IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
    |May 7, 2025
    PubMed
    Summary

    This study introduces a new anatomical calibration for lower limb joint kinematics using inertial measurement units. The method provides accurate and clinically meaningful results, even with sensor misalignment and varied placements.

    More Related Videos

    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

    8.7K
    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

    16.7K

    Related Experiment Videos

    Last Updated: May 21, 2025

    An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor
    07:25

    An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor

    Published on: February 12, 2018

    6.9K
    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

    8.7K
    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

    16.7K

    Area of Science:

    • Biomechanics
    • Human Movement Analysis
    • Wearable Sensor Technology

    Background:

    • Inertial Measurement Units (IMUs) are increasingly used for human joint kinematics estimation.
    • Accurate estimation requires aligning the sensor frame with the anatomical frame, a challenge with no universal solution.
    • Sensor placement variability can impact kinematic data reliability.

    Purpose of the Study:

    • To develop a robust anatomical calibration procedure for lower limb joint kinematics.
    • To ensure accuracy despite sensor misalignment and varied placements.
    • To utilize a limited set of static and functional movements for calibration.

    Main Methods:

    • A novel anatomical calibration procedure was defined for lower limb joints.
    • Six healthy subjects performed straight walking and turning tasks.
    • Results were validated against an optoelectronic system, and three sensor placements were tested.

    Main Results:

    • The procedure achieved an average Root Mean Square Error (RMSE) of ≤2.5 degrees during gait and ≤2 degrees during turning across all tested configurations.
    • This performance surpassed previous approaches.
    • Average offset values were approximately 6 degrees for hip and ankle, and negligible for the knee.

    Conclusions:

    • The developed calibration procedure enables simple and accurate measurement of clinically meaningful joint kinematics.
    • The method is robust to sensor misalignment and does not require strict sensor placement.
    • This facilitates wider clinical adoption of IMU-based motion analysis.