The term JointTrack primarily refers to two distinct technologies depending on whether you are looking at orthopedic clinical research or software application development. 1. JointTrack Orthopedic & Kinematics Software
In orthopedic research, JointTrack is a well-known open-source software program used to measure the 3D motion (kinematics) of bones or artificial joint implants from 2D images.
Core Function: It calculates 3D movement using 2D image data obtained from single-plane or bi-plane X-ray films and fluoroscopic videos.
Model-Image Registration: It allows researchers to match 3D computer models of bones or implants (like total knee replacements) to the silhouettes seen on 2D X-rays.
Automation: An updated iteration called JointTrack Auto (and newer machine learning variants) utilizes convolutional neural networks (CNNs) to fully automate this pipeline, taking the time-consuming manual human tracking out of clinical settings. 2. QuickPose JointTrack API
In software development, JointTrack is a commercial pose estimation tool developed by QuickPose AI.
Core Function: It is an image-processing API that uses machine learning to detect human poses and calculate the Range of Motion (ROM) for specific joints.
Use Cases: Developers implement the QuickPose JointTrack API to build applications for fitness tracking, digital physical therapy, sports performance analytics, and yoga coaching.
Integration: It processes standard images or videos uploaded in the cloud, calculating precise angles (such as shoulder abduction or neck rotation) without requiring the user to wear physical sensors.
Which of these two versions of JointTrack were you hoping to learn more about? If you are building an app, I can walk you through the API implementation steps, or if you are doing medical research, I can find the open-source download links. JointTrack API for Range of Motion Image Annotation
Leave a Reply