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

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...

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...

You might also read

Related Articles

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

Sort by

Same author

Advances in mucosal injury mechanisms in radiation-induced esophagitis associated with thoracic radiotherapy.

Precision radiation oncology·2026

Same author

Advances in starch-based binary and ternary complexes with lipids and proteins: mechanisms, digestibility, and applications in low-glycemic foods.

Food & function·2026

Same author

Inhibiting fear memory recall-induced oligodendrogenesis rescues PTSD-like behaviors.

Molecular psychiatry·2026

Same author

Engineering Crystalline Frameworks into Porous Liquids to Fabricate Graphene Oxide/Porous Liquid Membranes for Efficient Li<sup>+</sup>/Mg<sup>2+</sup> Separation.

Nature communications·2026

Same author

FOXA1 protects against PM2.5-induced chronic lung injury via MARCHF8-dependent mitophagy inhibition.

Environment international·2026

Same author

HMGB1 blockade attenuates cardiac injury induced by radiotherapy combined with PD-1 inhibitor while maintaining the anti-tumor efficacy.

Apoptosis : an international journal on programmed cell death·2026

Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026

Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026

Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026

Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026

Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026

Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Oct 22, 2025

Methods to Quantify Pharmacologically Induced Alterations in Motor Function in Human Incomplete SCI

Methods to Quantify Pharmacologically Induced Alterations in Motor Function in Human Incomplete SCI

Published on: April 18, 2011

ARMA-Based Segmentation of Human Limb Motion Sequences.

Feng Mei¹, Qian Hu¹, Changxuan Yang¹

¹School of Information Engineering, East China Jiao Tong University, Nanchang 330013, China.

Sensors (Basel, Switzerland)

|August 28, 2021

Summary

This summary is machine-generated.

This study introduces an unsupervised human motion capture (MoCap) segmentation algorithm using limb-bone angles and ARMA models. It offers accurate and efficient MoCap data analysis for posture and behavior insights.

Keywords:

ARMA DTW IMU MoCap ensemble median filtering limb motion sequence segmentation

More Related Videos

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

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

Published on: February 12, 2018

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Published on: August 30, 2016

Related Experiment Videos

Last Updated: Oct 22, 2025

Methods to Quantify Pharmacologically Induced Alterations in Motor Function in Human Incomplete SCI

Methods to Quantify Pharmacologically Induced Alterations in Motor Function in Human Incomplete SCI

Published on: April 18, 2011

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

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

Published on: February 12, 2018

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Published on: August 30, 2016

Area of Science:

Biomedicine
Computer Vision
Virtual Reality

Background:

Human motion capture (MoCap) data is rapidly increasing across various applications.
Effective MoCap data segmentation is crucial for detailed human motion posture and behavior analysis.
Existing segmentation methods require robust and computationally efficient algorithms.

Purpose of the Study:

To propose an unsupervised segmentation algorithm for MoCap data.
To enhance the accuracy and efficiency of MoCap data analysis.
To enable better inter- and intra-motion sequence distinguishing.

Main Methods:

Developed an unsupervised algorithm using limb-bone partition angles and autoregressive moving average (ARMA) model fitting.
Converted MoCap data into angle sequences of human limb-bone and central spine segments.
Employed ARMA model fitting to identify segmentation points and used medial filtering to ensemble results.

Main Results:

The proposed algorithm demonstrated higher segmentation accuracy compared to PCA, K-means, and BP neural network methods.
The limb-bone partition angle representation provides a more semantic description of human motions.
The algorithm proved efficient and effective in segmenting MoCap data.

Conclusions:

The proposed unsupervised MoCap segmentation algorithm is accurate and efficient.
Limb-bone partition angles offer a semantically rich representation for motion analysis.
This model shows significant potential for distinguishing between and within motion sequences.