MoCAPP

Accessible Motion Capture for All

Live Web Camera Demo

Overview

MoCAPP (Motion Capture for Accessible Performance Profiling) is an open-source tool designed to assess jump landing biomechanics using only frontal plane video. Leveraging computer vision through Google's MediaPipe, MoCAPP enables motion analysis traditionally reserved for multi-camera systems, offering a more accessible and affordable solution for researchers, clinicians, and students.

Why MoCAPP?

Traditional motion capture systems require expensive, multi-camera setups that can limit access to biomechanical analysis. MoCAPP addresses this by providing an accurate, single-camera solution capable of capturing critical data in both clinical and field settings.

• Researchers can collect large-scale data remotely or in the field, enhancing opportunities for telemedicine and large cohort studies
• Clinicians can conduct virtual patient assessments or utilize MoCAPP in-clinic for streamlined biomechanical analysis
• Students and Educators can access motion capture techniques without the need for complex, costly equipment

How MoCAPP Works

MoCAPP uses standard RGB video to track joint landmarks which we can then use to calculate kineamtics

• Input: Standard webcam or mobile phone video.
• Processing: Computer vision algorithms extract joint positions to calculate kinematic variables.
• Output: Angle measurements, visual overlays, and performance metrics for biomechanical analysis.
• Hardware Requirements: A computer and webcam are the only tools necessary.

Powered by MediaPipe

MoCAPP is built on Google’s MediaPipe, a powerful open-source framework designed for building perception pipelines that run in real-time across different platforms.

• Read the original research paper: "MediaPipe: A Framework for Building Perception Pipelines"
• Explore the GitHub Repository: MediaPipe on GitHub

Try the live demonstration: Live Demo

Next Steps...

• Assess accuracy of MoCAPP compared to multi-camera systems
• Open-source release of MoCapp