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 drone...

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-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

A Dataset with Bilingual TV Commands for Silent Speech Interfaces Using Electroencephalographic Signals.

Scientific data·2026

Same author

Parameter-Efficient Adaptation of Large Vision-Language Models for Video Memorability Prediction.

Sensors (Basel, Switzerland)·2025

Same author

Dual Leap Motion Controller 2: A Robust Dataset for Multi-view Hand Pose Recognition.

Scientific data·2024

Same author

A dataset of synthetic art dialogues with ChatGPT.

Scientific data·2024

Same author

Sign Language Motion Generation from Sign Characteristics.

Sensors (Basel, Switzerland)·2023

Same author

Reducing the Impact of Sensor Orientation Variability in Human Activity Recognition Using a Consistent Reference System.

Sensors (Basel, Switzerland)·2023

Same journal

Human-AI Interaction in Interventional Radiology: A Narrative Review of Current Applications, Challenges, and Future Directions.

Journal of imaging·2026

Same journal

Coronary Artery Anomalies and Anatomical Variants: Cross-Sectional Diagnostic Imaging and Clinical Background.

Journal of imaging·2026

Same journal

YoLeTooth: A Unified Framework for Joint Tooth Segmentation and Periapical Lesion Detection in Panoramic Radiographs.

Journal of imaging·2026

Same journal

Radiomics-Guided Multi-Sequence Learning for Pathological Complete Response Prediction from Breast MRI with Missing Auxiliary Sequences.

Journal of imaging·2026

Same journal

Cutaneous Thermography in Arthropathies: Quantitative Imaging, Machine Learning, and Clinical Translation.

Journal of imaging·2026

Same journal

Two-Stage Dynamic Synergistic Segmentation Method for Myocardial Pathology.

Journal of imaging·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 8, 2026

A Protocol for Comprehensive Assessment of Bulbar Dysfunction in Amyotrophic Lateral Sclerosis ALS

A Protocol for Comprehensive Assessment of Bulbar Dysfunction in Amyotrophic Lateral Sclerosis ALS

Published on: February 21, 2011

Sign Language Dataset for Automatic Motion Generation.

María Villa-Monedero¹, Manuel Gil-Martín¹, Daniel Sáez-Trigueros²

¹Grupo de Tecnología del Habla y Aprendizaje Automático (T.H.A.U. Group), Information Processing and Telecommunications Center, E.T.S.I. de Telecomunicación, Universidad Politécnica de Madrid, 28040 Madrid, Spain.

Journal of Imaging

|December 22, 2023

Summary

This summary is machine-generated.

This study introduces a new sign language dataset with phonemes and motion data for automatic sign generation. Preliminary results show promising motion generation capabilities from sign phonemes.

Keywords:

HamNoSys landmarks extraction motion dataset sign language sign phonemes

More Related Videos

Author Spotlight: Deciphering the Cognitive and Neural Mechanisms of Gesture in Communication

Author Spotlight: Deciphering the Cognitive and Neural Mechanisms of Gesture in Communication

Published on: January 26, 2024

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Published on: March 28, 2025

Related Experiment Videos

Last Updated: Jun 8, 2026

A Protocol for Comprehensive Assessment of Bulbar Dysfunction in Amyotrophic Lateral Sclerosis ALS

A Protocol for Comprehensive Assessment of Bulbar Dysfunction in Amyotrophic Lateral Sclerosis ALS

Published on: February 21, 2011

Author Spotlight: Deciphering the Cognitive and Neural Mechanisms of Gesture in Communication

Author Spotlight: Deciphering the Cognitive and Neural Mechanisms of Gesture in Communication

Published on: January 26, 2024

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Published on: March 28, 2025

Area of Science:

Computer Science
Artificial Intelligence
Linguistics

Background:

Existing sign language datasets primarily focus on recognition and translation.
There is a need for datasets tailored for automatic sign language motion generation.

Purpose of the Study:

To introduce a novel sign language dataset for automatic motion generation.
To provide phoneme annotations (HamNoSys) and detailed motion data (videos, landmarks) for a comprehensive set of signs.

Main Methods:

The dataset comprises 754 Spanish Sign Language (LSE) signs, including alphabet, numbers, and common phrases.
Motion data includes 6786 videos with extracted skeletal landmarks (face, body, hands) using MediaPipe.
Signs are annotated with HamNoSys phonemes for each video.

Main Results:

The dataset facilitates training systems for generating sign language motion from phonemes.
Preliminary motion generation experiments achieved a Dynamic Time Warping distance of 0.37 per frame.

Conclusions:

The presented dataset is a valuable resource for advancing research in automatic sign language motion generation.
The findings demonstrate the feasibility of generating sign language motions from phonemic representations.