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

Relationship between jerk at the L3/L4 intervertebral level and COP mean velocity in bipedal and unipedal standing conditions.

Computer methods in biomechanics and biomedical engineering·2015
Same author

Comparison between several locations of gyroscope for gait events detection.

Computer methods in biomechanics and biomedical engineering·2015
Same author

Biomechanical analysis of interaction strategies using touchscreen: preliminary study.

Computer methods in biomechanics and biomedical engineering·2014
Same author

Validation of a low-cost wearable accelerometer for temporal gait parameter quantification.

Computer methods in biomechanics and biomedical engineering·2014
Same author

Validity of a low-cost wearable device for body sway parameter evaluation.

Computer methods in biomechanics and biomedical engineering·2014
Same author

Accelerometric signal during gait: cut-off frequency as a function of movement speed and sensor location.

Computer methods in biomechanics and biomedical engineering·2013

Related Experiment Video

Updated: Jun 6, 2026

Multifunctional Setup for Studying Human Motor Control Using Transcranial Magnetic Stimulation, Electromyography, Motion Capture, and Virtual Reality
08:09

Multifunctional Setup for Studying Human Motor Control Using Transcranial Magnetic Stimulation, Electromyography, Motion Capture, and Virtual Reality

Published on: September 3, 2015

A method for estimating three-dimensional human arm movement with two electromagnetic sensors.

N Rezzoug1, J Jacquier-Bret, P Gorce

  • 1Universite du Sud Toulon-Var, Handibio, La Garde, France.

Computer Methods in Biomechanics and Biomedical Engineering
|December 15, 2010
PubMed
Summary

This study presents a new 3D upper-limb movement tracking method using two electromagnetic sensors. The technique calibrates joint positions to accurately record shoulder and elbow motion, crucial for biomechanical analysis.

More Related Videos

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

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
09:41

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

Related Experiment Videos

Last Updated: Jun 6, 2026

Multifunctional Setup for Studying Human Motor Control Using Transcranial Magnetic Stimulation, Electromyography, Motion Capture, and Virtual Reality
08:09

Multifunctional Setup for Studying Human Motor Control Using Transcranial Magnetic Stimulation, Electromyography, Motion Capture, and Virtual Reality

Published on: September 3, 2015

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

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
09:41

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

Area of Science:

  • Biomechanics
  • Human Motion Analysis
  • Sensor Technology

Background:

  • Accurate measurement of upper-limb movements is vital across diverse fields, including sports science, rehabilitation, and ergonomics.
  • Existing methods for 3D motion capture can be complex or require numerous sensors, limiting practical application.
  • Standardized protocols, like those from the International Society of Biomechanics (ISB), are essential for consistent joint modeling.

Purpose of the Study:

  • To propose and validate a novel 3D upper-limb movement recording technique utilizing only two electromagnetic sensors.
  • To detail the calibration procedure for accurately defining joint centers (wrist, elbow, shoulder) within the sensor's coordinate frame.
  • To demonstrate the sensing of upper-limb kinematics, including seven degrees of freedom (DoF), compliant with ISB recommendations.

Main Methods:

  • Implementation of a 3D movement recording system employing two electromagnetic sensors (Flock of Birds).
  • Modeling of the shoulder joint with three DoF (ball and socket) and the elbow joint with one DoF (revolute).
  • A calibration process involving specific gestures to determine the spatial coordinates of key upper-limb joints relative to the sensors.

Main Results:

  • Successful demonstration of a simplified yet effective method for 3D upper-limb motion capture using minimal sensors.
  • Validation of the calibration technique for accurate joint center localization, essential for kinematic analysis.
  • Presentation and commentary on the recorded upper-limb movement data, highlighting the system's potential.

Conclusions:

  • The proposed technique offers a practical and efficient approach to measuring 3D upper-limb kinematics.
  • The calibration procedure is key to achieving accurate joint angle and position data from raw sensor readings.
  • This method provides a valuable tool for biomechanical studies requiring precise upper-limb movement quantification.