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:
Jul. 19, 2022

Filed:

May. 14, 2018
Applicant:

Khn Solutions, Inc., San Francisco, CA (US);

Inventors:

Keith Harry Nothacker, San Francisco, CA (US);

Pauline Anne Basaran, Corte Madera, CA (US);

Stacey Ilene Rettus, Greenbrae, CA (US);

Michael Jurgen Strasser, San Francisco, CA (US);

Imraan Aziz, Oakland, CA (US);

John Paul Walton, San Francisco, CA (US);

Zachary Michael Saul, San Francisco, CA (US);

Assignee:

KHN Solutions, Inc., San Francisco, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G16H 50/20 (2018.01); A61B 5/08 (2006.01); A61B 5/18 (2006.01); A61B 5/00 (2006.01); G16H 50/70 (2018.01); G16Z 99/00 (2019.01); G08B 21/02 (2006.01); G01N 33/497 (2006.01); G01N 33/98 (2006.01); A61B 5/097 (2006.01); A61B 10/00 (2006.01);
U.S. Cl.
CPC ...
G16H 50/20 (2018.01); A61B 5/0022 (2013.01); A61B 5/0077 (2013.01); A61B 5/082 (2013.01); A61B 5/097 (2013.01); A61B 5/18 (2013.01); A61B 5/4023 (2013.01); A61B 5/486 (2013.01); A61B 5/4845 (2013.01); A61B 5/4863 (2013.01); A61B 5/7275 (2013.01); A61B 5/743 (2013.01); A61B 5/7445 (2013.01); G01N 33/4972 (2013.01); G01N 33/98 (2013.01); G08B 21/02 (2013.01); G16H 50/70 (2018.01); G16Z 99/00 (2019.02); A61B 2010/0009 (2013.01); A61B 2010/0087 (2013.01); A61B 2562/0219 (2013.01);
Abstract

A method and system for monitoring a user's intoxication including receiving a set of signals, derived from a set of samples collected from the user at a set of time points; providing a sobriety task to the user proximal to a time point of the set of time points; generating a performance dataset characterizing performance of the sobriety task by the user; receiving a supplementary dataset characterizing a demographic profile of the user and/or a physiological state of the user; determining a set of values of an intoxication metric, derived from the set of signals; generating a predicted temporal profile of the intoxication metric for the user based upon the set of values, the set of time points, and the supplementary dataset; generating an analysis of the user's sobriety based upon the performance dataset and the predicted temporal profile; and providing a notification to the user based upon the analysis.


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