Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Relative Motion Analysis using Rotating Axes

Relative Motion Analysis using Rotating Axes

Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it instrumental in...

Relative Motion Analysis using Rotating Axes - Acceleration

Relative Motion Analysis using Rotating Axes - Acceleration

Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame. The absolute velocity of point B is determined by adding the absolute velocity of point A, the relative velocity of point B in the rotating frame, and the effects caused by the angular velocity within the rotating frame.
Time differentiation is...

Relative Motion Analysis using Rotating Axes-Problem Solving

Relative Motion Analysis using Rotating Axes-Problem Solving

Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...

Rotation with Constant Angular Acceleration - II

Rotation with Constant Angular Acceleration - II

Kinematics is the description of motion. The kinematics of rotational motion discusses the relationships between rotation angle, angular velocity, angular acceleration, and time. One can describe many things with great precision using kinematics, but kinematics does not consider causes. For example, a large angular acceleration describes a very rapid change in angular velocity without any consideration of its cause. Thus, rotational kinematics does not represent the laws of nature.
The first...

Rotation with Constant Angular Acceleration - I

Rotation with Constant Angular Acceleration - I

If angular acceleration is constant, then we can simplify equations of rotational kinematics, similar to the equations of linear kinematics. This simplified set of equations can be used to describe many applications in physics and engineering where the angular acceleration of a system is constant.
Using our intuition, we can begin to see how rotational quantities such as angular displacement, angular velocity, angular acceleration, and time are related to one another. For example, if a flywheel...

Absolute Motion Analysis- General Plane Motion

Absolute Motion Analysis- General Plane Motion

Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the drone...

You might also read

Related Articles

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

Sort by

Same author

Feasibility and safety of the Mobility Rehab Auditory Feedback system for gait in people with Parkinson's disease: A pilot study.

Gait & posture·2026

Same author

Digital Gait Measures Discriminate People with Friedreich's Ataxia from Healthy Controls.

Movement disorders clinical practice·2025

Same author

Development and validation of a composite digital balance score for spinocerebellar ataxia: a prospective study.

The Lancet. Digital health·2025

Same author

Clinic vs. daily life gait characteristics in patients with spinocerebellar ataxia.

Frontiers in digital health·2025

Same author

Gait characteristics in people with Friedreich ataxia: daily life versus clinic measures.

Frontiers in neurology·2025

Same author

Daily life mobility detects frailty, falls, and functioning in older prostate cancer survivors treated with androgen deprivation therapy.

Journal of geriatric oncology·2024

Search research articles

Related Experiment Video

Updated: Jun 26, 2026

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

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

Joint angle tracking with inertial sensors.

Mahmoud El-Gohary¹, Sean Pearson, James McNames

¹Biomedical Signal Processing Laboratory, Department of Electrical and Computer Engineering, Portland State University, Portland, Oregon, USA. mahmoud@pdx.edu.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|January 24, 2009

Summary

This summary is machine-generated.

This study introduces a new method for tracking human movement using inertial sensors, improving accuracy and duration. The advanced algorithms overcome limitations of traditional integration methods for precise joint angle estimation.

More Related Videos

Using Eye-tracking to Assess the Relative Importance of Visual and Vestibular Input to Subcortical Motion Processing in the Roll Plane

Using Eye-tracking to Assess the Relative Importance of Visual and Vestibular Input to Subcortical Motion Processing in the Roll Plane

Published on: August 22, 2025

Three-Dimensional Finger Motion Tracking during Needling: A Solution for the Kinematic Analysis of Acupuncture Manipulation

Three-Dimensional Finger Motion Tracking during Needling: A Solution for the Kinematic Analysis of Acupuncture Manipulation

Published on: October 28, 2021

Related Experiment Videos

Last Updated: Jun 26, 2026

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

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

Using Eye-tracking to Assess the Relative Importance of Visual and Vestibular Input to Subcortical Motion Processing in the Roll Plane

Using Eye-tracking to Assess the Relative Importance of Visual and Vestibular Input to Subcortical Motion Processing in the Roll Plane

Published on: August 22, 2025

Three-Dimensional Finger Motion Tracking during Needling: A Solution for the Kinematic Analysis of Acupuncture Manipulation

Three-Dimensional Finger Motion Tracking during Needling: A Solution for the Kinematic Analysis of Acupuncture Manipulation

Published on: October 28, 2021

Area of Science:

Biomechanics
Robotics
Sensor Technology

Background:

Wearable inertial systems are widely used for continuous human movement tracking.
Traditional methods integrating angular velocity for orientation changes suffer from significant drift and limited accuracy over time.
Existing algorithms' complexity and sensor requirements vary based on clinical applications.

Purpose of the Study:

To develop a novel algorithm for direct and continuous joint angle estimation from inertial sensors.
To overcome the accuracy limitations of traditional angular velocity integration methods.
To create a versatile algorithm applicable to various sensor combinations and adaptable to sensor malfunctions.

Main Methods:

Combined kinematic models from robotic arm control with state-space methods.
Developed algorithms for direct estimation of joint angles using inertial sensor data.
Algorithm designed to handle sensor data integration and potential sensor failures.

Main Results:

Achieved direct and continuous estimation of joint angles from inertial sensors.
Demonstrated higher accuracy compared to traditional integration methods, overcoming drift issues.
Algorithm proved robust to sensor malfunctions or data loss.

Conclusions:

The novel approach enables more accurate and prolonged tracking of human movement using wearable inertial systems.
The method offers enhanced flexibility and reliability for clinical applications and research.
This technique represents a significant advancement in wearable sensor-based motion analysis.