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

Pedigree Analysis

Pedigree Analysis

Fischer Projections

Fischer Projections

Learning to draw Fischer projections of molecules and understanding their relevance plays a crucial role in the visual depiction of organic molecules. A Fischer projection is a two-dimensional projection on a planar surface to simplify the three-dimensional wedge–dash representation of molecules. This is especially helpful in the case of molecules with multiple chiral centers that can be difficult to draw. Here, all the bonds of interest are represented as horizontal or vertical lines. While...

Pedigree Analysis

Pedigree Analysis

Anatomical Positions

Anatomical Positions

In anatomy, several standard anatomical positions are used as references for describing the position and orientation of different body parts. These positions help provide a common frame of reference when discussing anatomical structures. The anatomical position is the standard reference point for describing the body's position and orientation. In this position:
The body is upright, facing forward, and standing erect.
The feet are parallel and flat on the floor.
The arms are hanging by the...

You might also read

Related Articles

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

Sort by

Same author

Detecting and measuring respiratory events in horses during exercise with a microphone: deep learning vs. standard signal processing.

BMC veterinary research·2026

Same author

Textile suit for anywhere full-body motion capture.

Science advances·2026

Same author

Quantitative assessment of gait alterations and variability in sulky-driven Standardbred trotters after a standardised exercise test.

Equine veterinary journal·2025

Same author

Adaptation strategies of Icelandic horses with induced transient hindlimb lameness at walk, trot and tölt.

Equine veterinary journal·2025

Same author

Vertical Movement of Head, Withers, and Pelvis of High-Level Dressage Horses Trotting in Hand vs. Being Ridden.

Animals : an open access journal from MDPI·2025

Same author

Adaptation strategies of the Icelandic horse with induced forelimb lameness at walk, trot and tölt.

Equine veterinary journal·2023

Same journal

Dataset of Optimized Structures of Aliphatic Chains Chemisorbed on Si(110) and Si(111) Surfaces via First-Principles Methods.

Scientific data·2026

Same journal

EURO-PROBE - Manual segmentations of the prostate and intraprostatic urethra on T2-weighted MRI.

Scientific data·2026

Same journal

Chromosome-Level Genome Assembly of Southern Africa Mozambique Tilapia (Oreochromis mossambicus) using PacBio HiFi and Omni-C sequencing.

Scientific data·2026

Same journal

Ovarian Stainology: Database of evidence-based immunohistochemical antigen expression in ovarian tumors.

Scientific data·2026

Same journal

A dataset of small protein conformational ensembles from all-atom molecular dynamics simulations.

Scientific data·2026

Same journal

A real-world Fitbit-derived dataset of activity, sleep, and heart rate with matched clinical factors in on-treatment lung cancer patients.

Scientific data·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 17, 2026

Noninvasive EEG Recordings from Freely Moving Piglets

Noninvasive EEG Recordings from Freely Moving Piglets

Published on: July 13, 2018

The Poses for Equine Research Dataset (PFERD).

Ci Li¹, Ylva Mellbin², Johanna Krogager²

¹KTH Royal Institute of Technology, Stockholm, Sweden.

Scientific Data

|May 15, 2024

Summary

This summary is machine-generated.

Researchers created PFERD, a comprehensive dataset of horse motion capture using over 100 markers and multiple camera angles. This resource aids disease identification and advances markerless motion capture technology.

More Related Videos

Noninvasive, In-pen Approach Test for Laboratory-housed Pigs

Noninvasive, In-pen Approach Test for Laboratory-housed Pigs

Published on: June 5, 2019

Construction of a Realistic, Whole-Body, Three-Dimensional Equine Skeletal Model using Computed Tomography Data

Construction of a Realistic, Whole-Body, Three-Dimensional Equine Skeletal Model using Computed Tomography Data

Published on: February 25, 2021

Related Experiment Videos

Last Updated: Jun 17, 2026

Noninvasive EEG Recordings from Freely Moving Piglets

Noninvasive EEG Recordings from Freely Moving Piglets

Published on: July 13, 2018

Noninvasive, In-pen Approach Test for Laboratory-housed Pigs

Noninvasive, In-pen Approach Test for Laboratory-housed Pigs

Published on: June 5, 2019

Construction of a Realistic, Whole-Body, Three-Dimensional Equine Skeletal Model using Computed Tomography Data

Construction of a Realistic, Whole-Body, Three-Dimensional Equine Skeletal Model using Computed Tomography Data

Published on: February 25, 2021

Area of Science:

Biomechanics
Animal Motion Analysis
Computer Vision

Background:

Quadruped animal motion studies are crucial for understanding animal health, behavior, and biomechanics.
Horse motion analysis is vital but hindered by challenging, time-consuming data capture and limited open-access datasets.
Existing datasets often lack comprehensive anatomical data and full-body coverage, impeding advanced research.

Purpose of the Study:

To address the scarcity of high-quality, open-access equine motion datasets.
To introduce a novel, densely marker-equipped dataset for detailed 3D horse motion analysis.
To establish a baseline for 3D markerless motion capture in horses.

Main Methods:

Developed PFERD, a dataset featuring synchronized video and 3D marker motion data from five diverse horses.
Utilized a full-body setup with over 100 skin-attached markers and ten synchronized camera angles.
Captured a range of motions, from basic gaits (walking, trotting) to complex behaviors (rearing, kicking).

Main Results:

Generated a rich dataset of equine motion with extensive anatomical coverage.
Expressed 3D motions using current techniques and the hSMAL parameterized model.
Established a foundational dataset for validating and developing markerless motion capture methods.

Conclusions:

PFERD provides an invaluable resource for advanced biomechanical studies in horses.
The dataset serves as ground truth data, significantly advancing the development of markerless motion capture techniques.
Facilitates improved disease identification, behavioral analysis, and gait mechanics research in equine science.