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

Social Facilitation01:04

Social Facilitation

Not all intergroup interactions lead to negative outcomes. Sometimes, being in a group situation can improve performance. Social facilitation occurs when an individual performs better when an audience is watching than when the individual performs the behavior alone. This typically occurs when people are performing a task for which they are skilled.
Exercise and Muscle Performance01:27

Exercise and Muscle Performance

Exercise induces a range of adaptations in muscle tissue, depending on the type and duration of activity. Such physical training can be broadly categorized into two types: endurance exercises and resistance exercises.
Endurance exercises
Endurance exercises involve running, swimming, or cycling, which require repetitive movements with low force output. When a person engages in endurance exercise, a few noticeable changes occur in their skeletal muscles. For instance, the number of capillaries...

You might also read

Related Articles

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

Sort by
Same author

Frequency Band Personalization for Seizure Network Analysis in Multifocal Patients.

International journal of neural systems·2026
Same author

AI-Driven SEEG Channel Ranking for Epileptogenic Zone Localization.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

MorphoITH: a framework for deconvolving intra-tumor heterogeneity using tissue morphology.

Genome medicine·2025
Same author

The association between major depressive disorder and generalized anxiety disorder with hematological indices in the Rafsanjan youth cohort study.

Scientific reports·2025
Same author

A novel foldable metamaterial for application in the pipeline pressure vessel with a static deformation, strain and stress analysis.

Scientific reports·2025
Same author

An AI-Driven Camera-Based Platform for Patient Ambulation Assessment.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
See all related articles

Related Experiment Video

Updated: Jul 6, 2026

Biomechanical Analysis Methods to Assess Professional Badminton Players' Lunge Performance
06:36

Biomechanical Analysis Methods to Assess Professional Badminton Players' Lunge Performance

Published on: June 11, 2019

11.3K

AI-Based Performance Analysis for Track and Field Athletes.

Mostafa Habibi, Mehrdad Nourani, Mohammad Mehdi Nourani

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces an AI-powered system for ranking track and field athletes using historical race data. Coaches can now quantify athlete performance and predict competition readiness with this data-driven tool.

    More Related Videos

    An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
    06:52

    An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

    Published on: May 26, 2020

    8.4K
    Effects of a Novel Neuromuscular Training Intervention on Jump, Sprint, and Change of Direction in Adult Female Soccer Players
    10:08

    Effects of a Novel Neuromuscular Training Intervention on Jump, Sprint, and Change of Direction in Adult Female Soccer Players

    Published on: June 10, 2025

    1.2K

    Related Experiment Videos

    Last Updated: Jul 6, 2026

    Biomechanical Analysis Methods to Assess Professional Badminton Players' Lunge Performance
    06:36

    Biomechanical Analysis Methods to Assess Professional Badminton Players' Lunge Performance

    Published on: June 11, 2019

    11.3K
    An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
    06:52

    An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

    Published on: May 26, 2020

    8.4K
    Effects of a Novel Neuromuscular Training Intervention on Jump, Sprint, and Change of Direction in Adult Female Soccer Players
    10:08

    Effects of a Novel Neuromuscular Training Intervention on Jump, Sprint, and Change of Direction in Adult Female Soccer Players

    Published on: June 10, 2025

    1.2K

    Area of Science:

    • Sports Science
    • Artificial Intelligence
    • Data Analytics

    Background:

    • Traditional performance evaluation in track and field relies on manual analysis.
    • Lack of objective, data-driven tools hinders accurate athlete assessment and progress tracking.
    • Predicting athlete consistency and competitive potential remains a challenge for coaches.

    Purpose of the Study:

    • To develop and present an AI-driven methodology for performance analysis and ranking of track and field athletes.
    • To provide coaches with a tool for quantifying athlete progress during training.
    • To enable data-driven predictions of athlete competitiveness for future events.

    Main Methods:

    • Utilized historical race data from the TFRRS database.
    • Curated and extracted key statistical features from athlete records.
    • Trained a neural network clustering (ART2) technique for performance analysis.

    Main Results:

    • Developed a methodology to map athlete records to performance clusters.
    • The AI model provides a data-driven approach to ranking athletes.
    • Enabled quantification of athlete performance and progress.

    Conclusions:

    • The proposed AI methodology offers a novel, data-driven solution for track and field performance analysis and ranking.
    • Coaches can leverage this tool to objectively assess athletes and predict their competitive performance.
    • This approach enhances training efficiency and strategic planning for competitions.