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...

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...

You might also read

Related Articles

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

Sort by

Same author

Visual Predictive Control for Robotics with RBF-EKF Coupled State-Disturbance Estimation and Task-Oriented K-Means Clustering.

Sensors (Basel, Switzerland)·2026

Same author

Laser-driven noncontact bubble transfer printing via a hydrogel composite stamp.

Proceedings of the National Academy of Sciences of the United States of America·2024

Same author

Differential perovskite hemispherical photodetector for intelligent imaging and location tracking.

Nature communications·2024

Same author

Real-world effectiveness of nirmatrelvir-ritonavir versus azvudine in hospitalized patients with COVID-19 during the omicron wave in Beijing: a multicenter retrospective cohort study.

BMC infectious diseases·2024

Same author

Morphological Profiling for Drug Discovery in the Era of Deep Learning.

ArXiv·2024

Same author

The epigenetic regulatory effect of histone acetylation and deacetylation on skeletal muscle metabolism-a review.

Frontiers in physiology·2023

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: Aug 22, 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

A 3D Hand Attitude Estimation Method for Fixed Hand Posture Based on Dual-View RGB Images.

Peng Ji¹, Xianjian Wang¹, Fengying Ma¹

¹School of Information and Automation Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China.

Sensors (Basel, Switzerland)

|November 11, 2022

Summary

This summary is machine-generated.

This study introduces a novel 3D hand attitude estimation method using dual RGB cameras and machine learning. The approach effectively addresses hand self-occlusion for teleoperation applications.

Keywords:

convolutional neural network dual-view RGB image ensemble learning three-dimensional hand attitude estimation

More Related Videos

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

Related Experiment Videos

Last Updated: Aug 22, 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

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

Area of Science:

Computer Vision
Robotics
Machine Learning

Background:

Teleoperation requires accurate 3D hand pose estimation.
Hand self-occlusion is a significant challenge in 3D hand posture analysis.
Existing methods often require complex sensor setups.

Purpose of the Study:

To develop a robust 3D hand attitude estimation method using dual RGB cameras.
To enable teleoperation applications by overcoming hand self-occlusion.
To create an efficient dataset acquisition pipeline for 3D hand posture.

Main Methods:

A novel approach combining Convolutional Neural Networks (CNNs) and LightGBM for 3D hand attitude estimation.
Utilizing dual-view RGB images and an IMU sensor for dataset creation with automatic attitude angle labeling.
An integrated CNN regression model with Bayesian optimization-based LightGBM for ensemble learning.

Main Results:

The proposed method successfully estimates 3D hand attitude from dual RGB images.
Demonstrated effectiveness in solving the hand self-occlusion problem.
Achieved accurate 3D hand attitude estimation using only two standard RGB cameras.

Conclusions:

The developed method provides a practical solution for 3D hand attitude estimation in teleoperation.
Dual-view RGB imaging combined with advanced machine learning offers a viable alternative to complex sensors.
This approach enhances the feasibility of intuitive human-robot interaction.