US 12,076,134 B2
Posture analysis systems and methods
Richard William Bow Gray, San Francisco, CA (US); Jens-Peter Jungclaussen, San Francisco, CA (US); Jonas P. Cleveland, Philadelphia, PA (US); and James Morris, San Francisco, CA (US)
Assigned to Brightday Technologies, Inc., San Francisco, CA (US)
Filed by Brightday Technologies, Inc., San Francisco, CA (US)
Filed on Feb. 16, 2022, as Appl. No. 17/673,499.
Application 17/673,499 is a division of application No. 15/650,592, filed on Jul. 14, 2017, granted, now 11,311,210.
Claims priority of provisional application 62/362,391, filed on Jul. 14, 2016.
Prior Publication US 2022/0167878 A1, Jun. 2, 2022
Int. Cl. A61B 5/11 (2006.01); A61B 5/00 (2006.01); A61B 5/103 (2006.01)
CPC A61B 5/1116 (2013.01) [A61B 5/1036 (2013.01); A61B 5/743 (2013.01); A61B 5/7455 (2013.01); A61B 5/486 (2013.01); A61B 2562/0219 (2013.01)] 21 Claims
OG exemplary drawing
 
1. A method comprising:
receiving, by a computing system, visual data associated with a user;
determining the user's current posture in three dimensions based on the visual data, wherein determining the user's current posture includes:
determining the user's posture along a first axis based on a size of the user's face;
determining the user's posture along a second axis based on a first position of the user's face along the second axis; and
determining the user's posture along a third axis based on a second position of the user's face along the third axis;
identifying, by the computing system, a deviation of a user's posture from a predetermined posture based on determining the user's current posture in three dimensions; and
associating the deviation of the user's posture with a task being performed by the user.