Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
Abstract Two-dimensional (2D) video-based pose estimation offers a low-cost complement to three-dimensional motion capture (MOCAP) for quantifying fall impact kinematics, yet few studies have compared the available tools under controlled conditions. We compared the accuracy and agreement of six 2D pose estimation tools, one manually digitized (Kinovea) and five AI-based (OpenPose, RTMPose, and MediaPipe-lite/full/heavy), against a MOCAP reference.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
