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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 12001607 B1

PDFFull Text
Date of Patent:
Jun. 04, 2024

Filed:

Feb. 08, 2023

System and method for iterative classification using neurophysiological signals

Applicant:

Innereye Ltd., Herzeliya, IL;

Inventors:

Amir B. Geva, Herzliya, IL;

Eitan Netzer, Kiryat-Tivon, IL;

Ran El Manor, Savyon, IL;

Sergey Vaisman, Ramat-Gan, IL;

Leon Y. Deouell, Tel-Aviv, IL;

Uri Antman, Ramat-HaSharon, IL;

Assignee:

InnerEye Ltd., Herzeliya, IL;

Attorney:
Primary Examiner:

Mia M Thomas

Int. Cl.
CPC ...
G06F 3/01 (2006.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06F 18/23 (2023.01); G06F 18/2411 (2023.01); G06N 3/045 (2023.01); G06N 3/088 (2023.01); G06N 20/20 (2019.01); G06T 7/00 (2017.01); G06V 10/20 (2022.01); G06V 10/44 (2022.01); G06V 10/764 (2022.01); G06V 10/778 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06F 3/015 (2013.01); G06F 3/017 (2013.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06F 18/23 (2023.01); G06F 18/2411 (2023.01); G06N 3/045 (2023.01); G06N 3/088 (2013.01); G06N 20/20 (2019.01); G06T 7/0012 (2013.01); G06V 10/255 (2022.01); G06V 10/454 (2022.01); G06V 10/764 (2022.01); G06V 10/7788 (2022.01); G06V 10/82 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30016 (2013.01);
Abstract

An image classification neural network is trained based on images that are the presented to an observer as a visual stimulus while collecting neurophysiological signals from a brain of the observer. The neurophysiological signals are processes to identify a neurophysiological event indicative of a detection of a target by the observer in one or more of the images, and the image classification neural network is trained to identify the target in the image based on the identification of the neurophysiological event.

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