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:
Jan. 10, 2017

Filed:

Jul. 19, 2016
Applicant:

Mindstrong, Llc, Los Altos Hills, GA (US);

Inventor:

Paul Dagum, Los Altos Hills, CA (US);

Assignee:

Mindstrong, LLC, Los Altos Hills, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 5/16 (2006.01); A61B 5/00 (2006.01); A61B 5/11 (2006.01); A61B 5/01 (2006.01); A61B 5/1455 (2006.01); A61B 5/021 (2006.01); A61B 5/0476 (2006.01); A61B 5/145 (2006.01); G09B 5/12 (2006.01); G06F 19/00 (2011.01); G06N 5/02 (2006.01);
U.S. Cl.
CPC ...
A61B 5/16 (2013.01); A61B 5/0022 (2013.01); A61B 5/01 (2013.01); A61B 5/021 (2013.01); A61B 5/0476 (2013.01); A61B 5/1112 (2013.01); A61B 5/1118 (2013.01); A61B 5/1123 (2013.01); A61B 5/14532 (2013.01); A61B 5/14551 (2013.01); A61B 5/4815 (2013.01); A61B 5/4866 (2013.01); A61B 5/4872 (2013.01); A61B 5/6898 (2013.01); A61B 5/7267 (2013.01); A61B 5/749 (2013.01); G06F 19/345 (2013.01); G06N 5/022 (2013.01); G09B 5/125 (2013.01); A61B 2562/0219 (2013.01);
Abstract

A system and method that enables a person to unobtrusively assess their cognitive function from mobile device usage. The method records on the mobile device the occurrence and timing of user events comprising the opening and closing of applications resident on the device, the characters inputted, touch-screen gestures made, and voice inputs used on those applications, performs the step of learning a function mapping from the mobile device recordings to measurements of cognitive function that uses a loss function to determine relevant features in the recording, identifies a set of optimal weights that produce a minimum of the loss function, creates a function mapping using the optimal weights, and performs the step of applying the learned function mapping to a new recording on the mobile device to compute new cognitive function values.


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