College - Author 1
College of Engineering
Department - Author 1
Computer Engineering Department
College - Author 2
College of Engineering
Department - Author 2
Mechanical Engineering Department
College - Author 3
College of Engineering
Department - Author 3
Mechanical Engineering Department
Advisor
DR. Behnam Ghalamchi, College of Engineering, Mechanical Engineering
Funding Source
This research was funded by Cal Poly's College of Engineering Dean's Innovation Fund, Paul & Sandi Bonderson, Kim Vorrath, and The Sprague Foundation
Date
10-2025
Abstract/Summary
This project aims to integrate OpenCap, a markerless motion capture system, with augmented reality (AR) to optimize real-time human movement. By leveraging biomechanics principles, AR visualization, and machine learning (ML), the system will provide instant feedback to users, improving movement efficiency while minimizing joint and muscle stress. Previous research in 2024-2025 has successfully demonstrated 2D motion tracking and AR-based mapping onto another person for interactive comparison. This project will build upon that foundation by enhancing real-time 3D motion tracking and developing an advanced AR interface to guide users in sports training, rehabilitation, and workplace ergonomics. The integration of ML will further personalize movement recommendations, making the system adaptable to individual needs. This research contributes to advancements in AR-based biomechanics, human motion analysis, and real-time feedback technologies, fostering safer and more efficient movement practices.
October 1, 2025.
Included in
URL: https://digitalcommons.calpoly.edu/ceng_surp/173