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:
Jun. 03, 2025

Filed:

Mar. 21, 2022
Applicant:

Affective Software, Inc., Seattle, WA (US);

Inventors:

Vladimir Brayman, Mercer Island, WA (US);

Connor Eaton, Seattle, WA (US);

Yuriy Gulak, Highland Park, NJ (US);

Assignee:

AFFECTIVE SOFTWARE, INC., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 40/10 (2022.01); G06T 7/64 (2017.01); G06T 7/70 (2017.01); G06T 7/90 (2017.01); G06V 10/22 (2022.01); G06V 10/25 (2022.01); G06V 10/44 (2022.01); G06V 10/56 (2022.01); G06V 10/62 (2022.01); G06V 20/40 (2022.01); G06V 40/16 (2022.01); H04N 5/77 (2006.01);
U.S. Cl.
CPC ...
G06V 40/15 (2022.01); G06T 7/64 (2017.01); G06T 7/70 (2017.01); G06T 7/90 (2017.01); G06V 10/225 (2022.01); G06V 10/25 (2022.01); G06V 10/443 (2022.01); G06V 10/56 (2022.01); G06V 10/62 (2022.01); G06V 20/46 (2022.01); G06V 40/166 (2022.01); H04N 5/77 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/30088 (2013.01); G06T 2207/30201 (2013.01);
Abstract

The current document is directed to computationally efficient, robust, and accurate methods and systems that determine the heartbeat rate of human subjects, patients, and/or participants monitored by a video-recording-capable device or system by analyzing video recordings of human subjects, patients, and/or participants, either in real time or following video recording. The currently disclosed methods and systems employ face-recognition methods to identify adaptive regions of interest corresponding to facial-skin areas. Spatial averages of the intensities of light components with different frequencies reflected from the identified adaptive regions of interest are extracted from the video recording as intensity signals. The intensity signals are then analyzed to extract detrended, band-pass-filtered oscillating light-intensity signals that are processed by spectral and peak-finding methods that each produces a determined heartbeat rate for each of multiple time intervals.


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