Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis00:59

Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis

426
Noncompartmental analyses offer an alternative method for describing drug pharmacokinetics without relying on a specific compartmental model. In this approach, the drug's pharmacokinetics are assumed to be linear, with the terminal phase log-linear. This assumption allows for simplified analysis and interpretation of the drug's behavior in the body.
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
426
Overview of Biostatistics in Health Sciences01:19

Overview of Biostatistics in Health Sciences

4.8K
Biostatistics involves the application of statistical techniques to scientific research in health-related fields, including biology and public health. These techniques are essential for designing studies, collecting data, and analyzing it to draw meaningful conclusions. Given the complexity of biological processes, particularly in studies involving human subjects, biostatistical methods are crucial for effectively organizing and interpreting data that might otherwise obscure underlying patterns...
4.8K
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

1.3K
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
1.3K

You might also read

Related Articles

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

Sort by
Same author

UCOPhyRehab++: A multi-modal and multi-view dataset for human rehabilitation analysis.

Scientific data·2026
Same author

Sit-to-stand test emerges as a powerful prognostic factor of future health outcomes: different versions, measurement properties and future perspectives.

British journal of sports medicine·2026
Same author

Physical Fitness Cut-Points for Early Detection of Obesity Risk in Preschool Children.

Obesity (Silver Spring, Md.)·2026
Same author

Clinical importance of simple muscular fitness tests to predict long-term health conditions: a systematic review and meta-analysis of 94 cohort studies.

British journal of sports medicine·2026
Same author

Prenatal determinants of youth physical fitness: Maternal BMI before pregnancy, gestational length, physical activity, and gestational anemia. The UP&DOWN study.

Journal of science and medicine in sport·2026
Same author

Responsiveness of Health-Related Field-Based Physical Fitness Tests in Adults: The ADULT-FIT Project.

International journal of sports medicine·2026
Same journal

SowPostureDS: A Multi-Class Image Dataset for YOLO-Based Detection of Sow Postures in diverse Farrowing Systems.

Scientific data·2026
Same journal

A Pulmonary Ultrasound Dataset for Tumor Segmentation and Classification.

Scientific data·2026
Same journal

An open dataset of cerebral tau deposition in young healthy adults based on [<sup>18</sup>F]MK6240 positron emission tomography.

Scientific data·2026
Same journal

GLORIF1, a global river flow dataset created by integrating process-based modelling and machine learning.

Scientific data·2026
Same journal

Curated endoscopic retrograde cholangiopancreatography images dataset.

Scientific data·2026
Same journal

Age-Specific Cerebral Vessel Templates Across the Lifespan of Healthy Adults.

Scientific data·2026
See all related articles

Related Experiment Video

Updated: Apr 30, 2026

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults
08:56

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults

Published on: November 7, 2014

13.8K

Health & Gait: a dataset for gait-based analysis.

Jorge Zafra-Palma1,2, Nuria Marín-Jiménez3,4, José Castro-Piñero3,4

  • 1University of Cordoba, Department of Computing and Numerical Analysis, Córdoba, 14071, Spain. jzafra@uco.es.

Scientific Data
|January 10, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces Health&Gait, a novel dataset for automated gait analysis using video. It enables easier physical status assessment via mobile devices, advancing artificial vision in healthcare.

More Related Videos

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder
06:54

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder

Published on: March 4, 2018

14.0K
Paw-Print Analysis of Contrast-Enhanced Recordings PrAnCER: A Low-Cost, Open-Access Automated Gait Analysis System for Assessing Motor Deficits
06:25

Paw-Print Analysis of Contrast-Enhanced Recordings PrAnCER: A Low-Cost, Open-Access Automated Gait Analysis System for Assessing Motor Deficits

Published on: August 12, 2019

8.4K

Related Experiment Videos

Last Updated: Apr 30, 2026

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults
08:56

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults

Published on: November 7, 2014

13.8K
Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder
06:54

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder

Published on: March 4, 2018

14.0K
Paw-Print Analysis of Contrast-Enhanced Recordings PrAnCER: A Low-Cost, Open-Access Automated Gait Analysis System for Assessing Motor Deficits
06:25

Paw-Print Analysis of Contrast-Enhanced Recordings PrAnCER: A Low-Cost, Open-Access Automated Gait Analysis System for Assessing Motor Deficits

Published on: August 12, 2019

8.4K

Area of Science:

  • Biomedical Engineering
  • Computer Vision
  • Human Motion Analysis

Background:

  • Gait metrics and anthropometric data are vital for assessing physical status.
  • Current automated gait analysis methods use expensive, specialized equipment.
  • There is a need for accessible, mobile-device-operable solutions.

Purpose of the Study:

  • To introduce Health&Gait, the first dataset for video-based gait analysis.
  • To provide a comprehensive dataset for developing and evaluating artificial vision algorithms for gait assessment.
  • To facilitate automated patient monitoring and reduce healthcare professional burden.

Main Methods:

  • Collected 1,564 videos from 398 participants.
  • The dataset includes participant silhouettes, semantic segmentation, optical flow, and human pose.
  • Data also contains anthropometric measurements (sex, height, weight) and gait parameters (step/stride length, gait speed).

Main Results:

  • Technical evaluation demonstrated the utility of video-extracted information and gait parameters.
  • Successfully performed tasks like sex classification and regression of weight and age.
  • The dataset's richness supports diverse applications in automated gait analysis.

Conclusions:

  • Health&Gait is a valuable resource for advancing video-based gait analysis.
  • The dataset supports the development of accessible, mobile-first artificial vision systems for healthcare.
  • Facilitates progress in automated physical status assessment and patient monitoring.