International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 4 (July-August 2026) Submit your research before last 3 days of August to publish your research paper in the issue of July-August.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 8 Issue 4
July-August 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Markerless Motion Capture for Form Correction in Grassroots Sports: A Low Cost Edge AI Framework for Real Time Kinematic Feedback in Scholastic Physical Education

Author(s) Dr. Anil Kumar N
Country India
Abstract The increasing prevalence of physical inactivity among adolescents has generated renewed interest in accessible technologies capable of improving movement competency and reducing injury risk. However, biomechanical assessment within school physical education and grassroots sports remains constrained by the high cost of laboratory motion capture systems and the technical complexity associated with wearable sensor technologies.
This study proposes a low cost markerless motion capture framework that utilizes smartphone cameras and edge artificial intelligence techniques to deliver real time kinematic feedback during foundational athletic movements including squats, cricket bowling actions, sprint starts, and jumping tasks. The framework integrates smartphone video acquisition, human pose estimation, temporal stabilization algorithms, and automated biomechanical analysis to provide immediate corrective recommendations.
The proposed framework introduces three novel computational contributions. First, a Biomechanical Quality Index quantifies overall movement quality through weighted aggregation of multiple kinematic variables. Second, a Movement Symmetry Index evaluates bilateral asymmetries that may contribute to injury risk. Third, an Adaptive Feedback Engine dynamically modifies corrective thresholds according to participant characteristics and previous performance history.
By democratizing access to biomechanical assessment technologies, the proposed system seeks to bridge the digital divide in sports science and provide practical movement analysis tools for educational institutions and community sports organizations.
Keywords Markerless Motion Capture, Human Pose Estimation, Sports Biomechanics, Edge Artificial Intelligence, Physical Education, Kinematic Analysis, Movement Quality, Injury Prevention
Published In Volume 8, Issue 4, July-August 2026
Published On 2026-07-10
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI prefix of IJFMR is 10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 8 Isu 4Cover Page Vol 8 Isu 3Cover Page Vol 8 Isu 2

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijfmr.com
Powered by Sky Research Publication and Journals