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:
Mar. 07, 2023

Filed:

Oct. 07, 2021
Applicant:

Apple Inc., Cupertino, CA (US);

Inventors:

Yoav Feinmesser, Tel Aviv, IL;

Rafi Vitory, Or Akiva, IL;

Ron Eyal, Herzliya, IL;

Eyal Waserman, Netanya, IL;

Yunxing Ye, Fremont, CA (US);

Assignee:

Apple Inc., Cupertino, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 15/16 (2006.01); H04L 67/52 (2022.01); G06N 20/00 (2019.01); H04W 4/38 (2018.01); H04W 4/33 (2018.01); H04L 67/50 (2022.01);
U.S. Cl.
CPC ...
H04L 67/52 (2022.05); G06N 20/00 (2019.01); H04L 67/535 (2022.05); H04W 4/33 (2018.02); H04W 4/38 (2018.02);
Abstract

A semi-supervised machine learning model can provide for classifying an input data point as associated with a particular target location or a particular action. Each data point comprises one or more sensor values from one or more signals emitted by one or more signal sources located within a physical area. A tagged sample set and an untagged sample set are combined to train the machine learning model. Each tagged sample includes a respective data point and a label representing a respective location/action. Each untagged sample includes a data point, but is unlabeled. Once trained, given a current data point, the machine learning model can classify the current data point as associated with a particular location/action, after which a target object (e.g., other device or application to be used) can be predicted.


Find Patent Forward Citations

Loading…