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

Measurement: Derived Units03:02

Measurement: Derived Units

56.1K
The International System of Units or SI system, by international agreement, has fixed measurement units for seven fundamental properties: length, mass, time, temperature, electric current, amount of substance, and luminosity. These are called the SI base units.
56.1K
Measurement: Standard Units03:38

Measurement: Standard Units

82.3K
Every measurement provides three kinds of information: the size or magnitude of the measurement (a number), a standard of comparison for the measurement (a unit), and an indication of the uncertainty of the measurement. While the number and unit are explicitly represented when a quantity is written, the uncertainty is an aspect of the errors in the measurement results.
82.3K
Units of Measurement01:27

Units of Measurement

5.3K
Mechanical engineering is one of the oldest branches of engineering. It deals with designing, analyzing, and manufacturing machines and mechanical systems. To ensure precise and accurate calculations, units of measurement are used. They provide a standard system for expressing and comparing physical quantities.
There are various well-known historical measurement systems, such as the Babylonian system, the Roman system, the Egyptian system, the Olympian system, the British system, and the Indus...
5.3K
Units and Standards of Measurement01:10

Units and Standards of Measurement

45.8K
A physical quantity is defined either by specifying its measurement method or by stating how it is calculated from other measurements. For example, consider a metallic cube. We might define its mass and dimensions by specifying methods for measuring them, such as using a weighing machine and a meter scale. Then, we could define the volume by stating that it is the cube of its side, and we could calculate the density as the mass divided by the volume.
Measurements of physical quantities are...
45.8K
Inertial Frames of Reference01:03

Inertial Frames of Reference

8.9K
Newton’s first law is usually considered to be a statement about reference frames. It provides a method for identifying a special type of reference frame: the inertial reference frame. In principle, we can make the net force on a body zero. If its velocity relative to a given frame is constant, then that frame is said to be inertial. So, by definition, an inertial reference frame is a reference frame where Newton's first law holds valid. Newton's first law applies to objects with...
8.9K
Non-inertial Frames of Reference01:27

Non-inertial Frames of Reference

7.2K
A reference frame accelerating or decelerating relative to an inertial frame is a non-inertial frame. To help understand this, consider what taking off in an airplane, turning a corner in a car, riding a merry-go-round, and the circular motion of a tropical cyclone all have in common. All these systems are accelerating, decelerating, or rotating relative to the Earth; hence, they all are non-inertial frames. All these systems exhibit inertial forces, which merely seem to arise from motion,...
7.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Extraction and characterization of polysaccharides from blackcurrant fruits and its inhibitory effects on acetylcholinesterase.

International journal of biological macromolecules·2024
Same author

A Robust and Adaptive Complementary Kalman Filter Based on Mahalanobis Distance for Ultra Wideband/Inertial Measurement Unit Fusion Positioning.

Sensors (Basel, Switzerland)·2018
Same author

An Adaptive Weighted KNN Positioning Method Based on Omnidirectional Fingerprint Database and Twice Affinity Propagation Clustering.

Sensors (Basel, Switzerland)·2018
See all related articles

Related Experiment Video

Updated: Feb 13, 2026

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
06:52

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

Published on: May 26, 2020

8.7K

A Foot-Mounted Inertial Measurement Unit (IMU) Positioning Algorithm Based on Magnetic Constraint.

Yan Wang1, Xin Li2, Jiaheng Zou3

  • 1School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, China. wystephen@cumt.edu.cn.

Sensors (Basel, Switzerland)
|March 2, 2018
PubMed
Summary

This study introduces a foot-mounted inertial measurement unit (IMU) positioning algorithm using magnetic information for accurate indoor fingerprinting. The method significantly reduces trajectory errors, achieving below 2.15 m average error with loop closure constraints.

Keywords:
FFTfoot-mounted IMUgraph optimizationmagnetic field

More Related Videos

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

17.3K
Evaluating the Function of the Foot Core System in the Elderly
08:25

Evaluating the Function of the Foot Core System in the Elderly

Published on: March 11, 2022

3.3K

Related Experiment Videos

Last Updated: Feb 13, 2026

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
06:52

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

Published on: May 26, 2020

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

17.3K
Evaluating the Function of the Foot Core System in the Elderly
08:25

Evaluating the Function of the Foot Core System in the Elderly

Published on: March 11, 2022

3.3K

Area of Science:

  • Robotics and Navigation
  • Geospatial Information Science
  • Sensor Fusion

Background:

  • Indoor positioning systems (IPS) commonly utilize Wi-Fi, Bluetooth low energy (BLE), and geomagnetism, often requiring fingerprinting.
  • Establishing accurate fingerprint databases is challenging due to the need for precise physical location data with minimal prior information.
  • Existing methods face difficulties in achieving high accuracy and reliability, especially in environments lacking detailed maps or extensive sensor networks.

Purpose of the Study:

  • To develop a novel indoor positioning algorithm for creating accurate fingerprint databases.
  • To enhance the reliability and accuracy of indoor positioning using a foot-mounted inertial measurement unit (IMU).
  • To validate the effectiveness of loop closure constraints and magnetic information in reducing cumulative trajectory errors.

Main Methods:

  • Implementation of a foot-mounted inertial measurement unit (IMU) positioning algorithm incorporating loop closure constraints and magnetic information.
  • Utilizing a multi-level Fourier transform for feature extraction from IMU data.
  • Employing a RANSAC-based method for validating loop closure matching.
  • Applying graph optimization algorithms to suppress cumulative trajectory errors.

Main Results:

  • The proposed algorithm provides reliable positioning information without relying on pre-existing maps or extensive geomagnetic data.
  • Feature extraction using the multi-level Fourier transform was validated, demonstrating its effectiveness.
  • Loop closure detection using RANSAC proved successful, significantly reducing cumulative trajectory errors.
  • The trajectory error under loop closure constraint was controlled to an average below 2.15 meters.

Conclusions:

  • The foot-mounted IMU positioning algorithm with loop closure constraints offers a robust solution for accurate indoor localization.
  • This technique provides a reliable method for collecting precise coordinates for fingerprint database creation.
  • The approach demonstrates significant improvements in trajectory accuracy, making it suitable for various indoor positioning applications.