Patent ID: 11918370
Assignee: THE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY
Field: Medical technology (Instruments)
Classification: CPC A  G | IPC A  G

Claim 18:
19. A method for evaluating motion from a video, the method comprising:
identifying a target individual in a set of one or more frames in a video;
analyzing the set of frames to determine a set of pose parameters;
generating a 3D body mesh based on the pose parameters;
identifying joint positions for the target individual in the set of frames based on the generated 3D body mesh;
using a trained temporal convolutional neural network (TCNN) on a sequence of 3D poses to quantify movement-linked disease markers;
predicting a motion evaluation score based on the identified joint positions; and
providing an output based on the motion evaluation score, wherein the TCNN uses a Rater Confusion Estimation (RCE) framework that jointly learns a rater scoring noise by creating a learnable confusion matrix (CM) for each rater; and
optimizing the CM while classifying input videos using an ordinal focal strategy.