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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.:

US 12189854 B1

PDFFull Text
Date of Patent:
Jan. 07, 2025

Filed:

Mar. 13, 2020

Systems and methods for collecting, analyzing, and sharing bio-signal and non-bio-signal data

Applicant:

Interaxon Inc, Toronto, CA;

Inventors:

Trevor Ce Coleman, Toronto, CA;

Christopher Allen Aimone, Toronto, CA;

Ariel Stephanie Garten, Toronto, CA;

Locillo (Lou) Giuseppe Pino, Cambridge, CA;

Paul Harrison Baranowski, Toronto, CA;

Raul Rajiv Rupsingh, Brampton, CA;

Kapil Jay Mishra Vidyarthi, Toronto, CA;

Graeme Moffat, Toronto, CA;

Samuel Thomas Mackenzie, Toronto, CA;

Assignee:

INTERAXON INC., Toronto, CA;

Attorney:

Norton Rose Fulbright Canada LLP

Primary Examiner:

Mark Holcomb

Int. Cl.
CPC ...
G16H 40/67 (2018.01); A61B 5/00 (2006.01); A61B 5/16 (2006.01); A61B 5/369 (2021.01); G06F 3/01 (2006.01); G06F 16/00 (2019.01); G06N 20/00 (2019.01); G16H 40/63 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01); G16Z 99/00 (2019.01); H04L 12/16 (2006.01); H04L 67/01 (2022.01); H04L 67/12 (2022.01); H04L 67/50 (2022.01); A61B 5/024 (2006.01); A61B 5/11 (2006.01); H04L 12/18 (2006.01);
U.S. Cl.
CPC ...
G06F 3/015 (2013.01); A61B 5/0006 (2013.01); A61B 5/0022 (2013.01); A61B 5/0024 (2013.01); A61B 5/165 (2013.01); A61B 5/369 (2021.01); A61B 5/486 (2013.01); A61B 5/7267 (2013.01); G06F 3/011 (2013.01); G06F 16/00 (2019.01); G06N 20/00 (2019.01); G16H 40/63 (2018.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01); G16Z 99/00 (2019.02); H04L 12/16 (2013.01); H04L 67/01 (2022.05); H04L 67/12 (2013.01); H04L 67/535 (2022.05); A61B 5/02416 (2013.01); A61B 5/02438 (2013.01); A61B 5/1118 (2013.01); A61B 5/4088 (2013.01); G06F 2203/011 (2013.01); H04L 12/1813 (2013.01);
Abstract

A computer network implemented system for improving the operation of one or more biofeedback computer systems is provided. The system includes an intelligent bio-signal processing system that is operable to: capture bio-signal data and in addition optionally non-bio-signal data; and analyze the bio-signal data and non-bio-signal data, if any, so as to: extract one or more features related to at least one individual interacting with the biofeedback computer system; classify the individual based on the features by establishing one or more brain wave interaction profiles for the individual for improving the interaction of the individual with the one or more biofeedback computer systems, and initiate the storage of the brain waive interaction profiles to a database; and access one or more machine learning components or processes for further improving the interaction of the individual with the one or more biofeedback computer systems by updating automatically the brain wave interaction profiles based on detecting one or more defined interactions between the individual and the one or more of the biofeedback computer systems. A number of additional system and computer implemented method features are also provided.

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