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

Structural Classification of Joints

Structural Classification of Joints

Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...

You might also read

Related Articles

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

Sort by

Same journal

Effects of audio guided loving kindness meditation on psychological well being and laboratory stress responsiveness in healthy university students.

Scientific reports·2026

Same journal

Adaptive cognitive driven cross modal network for few shot fine grained recognition.

Scientific reports·2026

Same journal

Tegoprazan-based dual therapy versus bismuth-containing quadruple therapy for Helicobacter pylori eradication: a prospective, multicenter, open-label, non-inferiority, randomized controlled trial.

Scientific reports·2026

Same journal

Primary tumor resection prior to peptide receptor radionuclide therapy is associated with improved survival in metastatic gastroenteropancreatic neuroendocrine tumors: a systematic review and meta-analysis.

Scientific reports·2026

Same journal

Sleep duration among medical students and its association with bronchial asthma, anxiety, and depression.

Scientific reports·2026

Same journal

MGMT deficiency augments STING-mediated inflammatory responses accompanied by metabolic alterations in macrophages.

Scientific reports·2026

Search research articles

Related Experiment Video

Updated: Sep 13, 2025

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

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

Published on: April 21, 2023

ScaleFormer architecture for scale invariant human pose estimation with enhanced mixed features.

Congying Ge¹, Wei Fu Qin²

¹School of Physical Education, Guangxi University of Science and Technology, Liuzhou, 545006, China.

Scientific Reports

|July 30, 2025

Summary

This study introduces ScaleFormer, a novel framework for human pose estimation that overcomes scale-related performance issues. ScaleFormer achieves robust and consistent human pose estimation across various scales and occlusions.

More Related Videos

Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction

Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction

Published on: August 16, 2024

Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders

Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders

Published on: November 1, 2024

Related Experiment Videos

Last Updated: Sep 13, 2025

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

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

Published on: April 21, 2023

Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction

Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction

Published on: August 16, 2024

Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders

Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders

Published on: November 1, 2024

Area of Science:

Computer Vision
Machine Learning

Background:

Human pose estimation is crucial in computer vision.
Existing methods struggle with varying human target scales, particularly in outdoor environments with changing distances and angles.

Purpose of the Study:

To propose ScaleFormer, a novel scale-invariant pose estimation framework.
To address the challenges of multi-scale human pose estimation.

Main Methods:

Combines Swin Transformer's hierarchical feature extraction with ConvNeXt's fine-grained feature enhancement.
Introduces an adaptive feature representation mechanism for consistent performance across scales.

Main Results:

ScaleFormer significantly outperforms existing methods on the MPII human pose dataset.
Achieved a 48.8 percentage point improvement in scale consistency score under extreme scaling (2.0x).
Improved keypoint detection accuracy by 20.5 percentage points under 30% random occlusion.

Conclusions:

ScaleFormer demonstrates significant advantages for practical pose estimation applications.
The framework offers new research directions for scale-invariant pose estimation.