	US 12,260,678 B2
	Detection of kinetic events and mechanical variables from uncalibrated video
Kevin John Prince, Brooklyn, NY (US); Carlos Dietrich, Porto Alegre (BR); and Justin Ali Kennedy, Norwell, MA (US)
Assigned to QUALIAOS, INC., Los Angeles, CA (US)
Filed by QualiaOS, Inc., Los Angeles, CA (US)
Filed on Sep. 14, 2023, as Appl. No. 18/368,048.
Application 18/368,048 is a continuation of application No. 17/389,848, filed on Jul. 30, 2021, granted, now 11,798,318.
Claims priority of provisional application 63/059,599, filed on Jul. 31, 2020.
Prior Publication US 2023/0419731 A1, Dec. 28, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06V 40/20 (2022.01); A63B 24/00 (2006.01); G06T 7/215 (2017.01); G06V 20/40 (2022.01)

CPC G06V 40/23 (2022.01) [A63B 24/0006 (2013.01); G06T 7/215 (2017.01); G06V 20/42 (2022.01); G06V 20/46 (2022.01); G06V 40/28 (2022.01)]

17 Claims

1. A computer-implemented method comprising:

receiving an uncalibrated video showing performance of an action by a human subject;

extracting a plurality of two-dimensional (2D) poses of the human subject while performing the action based on an arrangement of keypoints on the human subject in one or more frames of the uncalibrated video, the keypoints comprising repeatably-identifiable points on the human subject, wherein the 2D poses comprise discrete arrangements of portions of the human subject relative to one another;

computing one or more mechanical variables of the human subject performing the action, the mechanical variables describing a physical arrangement of at least a part of the human subject performing the action; and

based upon the one or more mechanical variables, automatically providing information about performance of the action by the human subject, the information indicating at least one portion of the action that was performed sub-optimally by the human subject.