The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 10, 2020

Filed:

Oct. 28, 2016
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Jamie Daniel Joseph Shotton, Cambridge, GB;

Toby Sharp, Cambridge, GB;

Pushmeet Kohli, Cambridge, GB;

Reinhard Sebastian Bernhard Nowozin, Cambridge, GB;

John Michael Winn, Cambridge, GB;

Antonio Criminisi, Cambridge, GB;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 5/00 (2006.01); G06F 16/28 (2019.01); G06F 16/901 (2019.01); G06K 9/00 (2006.01); G06K 9/62 (2006.01); G06N 7/00 (2006.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/285 (2019.01); G06F 16/9024 (2019.01); G06K 9/00335 (2013.01); G06K 9/00369 (2013.01); G06K 9/6257 (2013.01); G06K 9/6269 (2013.01); G06K 9/6282 (2013.01); G06N 5/003 (2013.01); G06N 7/005 (2013.01);
Abstract

Memory facilitation using directed acyclic graphs is described, for example, where a plurality of directed acyclic graphs are trained for gesture recognition from human skeletal data, or to estimate human body joint positions from depth images for gesture detection. In various examples directed acyclic graphs are grown during training using a training objective which takes into account both connection patterns between nodes and split function parameter values. For example, a layer of child nodes is grown and connected to a parent layer of nodes using an initialization strategy. In examples, various local search processes are used to find good combinations of connection patterns and split function parameters.


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