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:
Feb. 08, 2022

Filed:

Mar. 08, 2019
Applicant:

Cogito Corporation, Boston, MA (US);

Inventors:

Joshua Feast, Boston, MA (US);

Ali Azarbayejani, Boston, MA (US);

Skyler Place, Boston, MA (US);

Assignee:

Cogito Corporation, Boston, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 21/00 (2013.01); G10L 25/63 (2013.01); H04W 4/14 (2009.01); H04L 29/08 (2006.01); G10L 25/66 (2013.01); G10L 21/0316 (2013.01); G06Q 30/02 (2012.01); G10L 15/28 (2013.01); G06F 17/00 (2019.01); G06F 40/20 (2020.01); G16Z 99/00 (2019.01); G10L 25/90 (2013.01); G10L 15/02 (2006.01); G10L 15/187 (2013.01);
U.S. Cl.
CPC ...
G10L 25/63 (2013.01); G06F 17/00 (2013.01); G06F 40/20 (2020.01); G06Q 30/0269 (2013.01); G10L 15/28 (2013.01); G10L 21/0316 (2013.01); G10L 25/66 (2013.01); G16Z 99/00 (2019.02); H04L 67/22 (2013.01); H04W 4/14 (2013.01); G10L 15/02 (2013.01); G10L 15/187 (2013.01); G10L 25/90 (2013.01);
Abstract

Systems and methods are provided for analyzing voice-based audio inputs. A voice-based audio input associated with a user (e.g., wherein the voice-based audio input is a prompt or a command) is received and measures of one or more features are extracted. One or more parameters are calculated based on the measures of the one or more features. The occurrence of one or more mistriggers is identified by inputting the one or more parameters into a predictive model. Further, systems and methods are provided for identifying human mental health states using mobile device data. Mobile device data (including sensor data) associated with a mobile device corresponding to a user is received. Measurements are derived from the mobile device data and input into a predictive model. The predictive model is executed and outputs probability values of one or more symptoms associated with the user.


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