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.
Patent No.:
Date of Patent:
Oct. 20, 2020
Filed:
Feb. 08, 2019
Applicant:
Nuance Communications, Inc., Burlington, MA (US);
Inventors:
Daniel Paulino Almendro Barreda, London, GB;
Dushyant Sharma, Woburn, MA (US);
Joel Praveen Pinto, Aachen, DE;
Uwe Helmut Jost, Groton, MA (US);
Patrick A. Naylor, Reading, GB;
Assignee:
Nuance Communications, Inc., Burlington, MA (US);
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/16 (2006.01); G16H 10/60 (2018.01); G16H 15/00 (2018.01); H04R 3/00 (2006.01); H04R 1/40 (2006.01); G10L 25/51 (2013.01); G06Q 10/10 (2012.01); G10L 15/26 (2006.01); G10L 25/45 (2013.01); G16H 10/20 (2018.01); G06T 7/20 (2017.01); G10L 15/22 (2006.01); G10L 15/30 (2013.01); G16H 10/40 (2018.01); G16H 50/70 (2018.01); G06F 40/20 (2020.01); G06F 40/30 (2020.01); G06F 40/117 (2020.01);
U.S. Cl.
CPC ...
G06F 3/165 (2013.01); G06F 40/117 (2020.01); G06F 40/20 (2020.01); G06F 40/30 (2020.01); G06Q 10/10 (2013.01); G06T 7/20 (2013.01); G10L 15/22 (2013.01); G10L 15/26 (2013.01); G10L 15/265 (2013.01); G10L 15/30 (2013.01); G10L 25/45 (2013.01); G10L 25/51 (2013.01); G16H 10/20 (2018.01); G16H 10/40 (2018.01); G16H 10/60 (2018.01); G16H 15/00 (2018.01); G16H 50/70 (2018.01); H04R 1/406 (2013.01); H04R 3/005 (2013.01); G06T 2207/30196 (2013.01);
Abstract
A method, computer program product, and computing system for obtaining encounter information of a patient encounter, wherein the encounter information includes machine vision encounter information; processing the machine vision encounter information to identify one or more humanoid shapes; and steering one or more audio recording beams toward the one or more humanoid shapes to capture audio encounter information.