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:
Mar. 21, 2023

Filed:

Dec. 15, 2020
Applicant:

Neurable, Inc., Boston, MA (US);

Inventors:

Ramses Eduardo Alcaide, Boston, MA (US);

David Stanley, Cambridge, MA (US);

Dereck Padden, Austin, TX (US);

James Hamet, Somerville, MA (US);

Adam Molnar, Boston, MA (US);

Jamie Alders, Dover, MA (US);

Jegan Candassamy, Lexington, MA (US);

Arjun Daniel Srinivas, San Francisco, CA (US);

Assignee:

Neurable, Inc., Boston, MA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/01 (2006.01); G06F 9/54 (2006.01); G06F 21/32 (2013.01); G05B 13/02 (2006.01); G01R 19/00 (2006.01); A61B 5/291 (2021.01); A61B 5/296 (2021.01); A61B 5/369 (2021.01); A61B 5/389 (2021.01); A61B 5/16 (2006.01); A61B 5/00 (2006.01); H04R 1/10 (2006.01); H04R 1/08 (2006.01); G10L 25/63 (2013.01); G16H 50/20 (2018.01); A61B 5/375 (2021.01); G16H 20/70 (2018.01); G16H 20/30 (2018.01);
U.S. Cl.
CPC ...
G06F 3/015 (2013.01); A61B 5/165 (2013.01); A61B 5/291 (2021.01); A61B 5/296 (2021.01); A61B 5/369 (2021.01); A61B 5/375 (2021.01); A61B 5/389 (2021.01); A61B 5/486 (2013.01); A61B 5/6803 (2013.01); A61B 5/742 (2013.01); G01R 19/0084 (2013.01); G05B 13/0265 (2013.01); G06F 9/542 (2013.01); G06F 21/32 (2013.01); G10L 25/63 (2013.01); G16H 50/20 (2018.01); H04R 1/08 (2013.01); H04R 1/1008 (2013.01); H04R 1/1041 (2013.01); G06F 2203/011 (2013.01); G16H 20/30 (2018.01); G16H 20/70 (2018.01);
Abstract

Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to an Analytics Engine that receives one more signal files that include neural signal data of a user based on voltages detected by one or more electrodes on a set of headphones worn by a user. The Analytics Engine preprocesses the data, extracts features from the received data, and feeds the extracted features into one or more machine learning models to generate determined output that corresponds to at least one of a current mental state of the user and a type of facial gesture performed by the user. The Analytics Engine sends the determined output to a computing device to perform an action based on the determined output.


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