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. 09, 2024

Filed:

Jun. 28, 2023
Applicant:

Braun Gmbh, Kronberg, DE;

Inventors:

Faiz Feisal Sherman, Mason, OH (US);

Xiaole Mao, Mason, OH (US);

Assignee:

Braun GmbH, Kronberg, DE;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/044 (2023.01); A46B 15/00 (2006.01); A61C 17/16 (2006.01); A61C 17/22 (2006.01); A61C 17/26 (2006.01); A61C 17/34 (2006.01); B26B 21/40 (2006.01); G06F 16/28 (2019.01); G06N 3/08 (2023.01); G06V 40/20 (2022.01); G08B 21/18 (2006.01);
U.S. Cl.
CPC ...
G06N 3/044 (2023.01); A46B 15/0073 (2013.01); A61C 17/22 (2013.01); A61C 17/221 (2013.01); A61C 17/26 (2013.01); G06F 16/285 (2019.01); G06N 3/08 (2013.01); G06V 40/20 (2022.01); G08B 21/18 (2013.01); A46B 15/0002 (2013.01); A46B 15/0036 (2013.01); A46B 15/0038 (2013.01); A46B 15/004 (2013.01); A46B 15/0071 (2013.01); A46B 2200/1066 (2013.01); A61B 2562/0219 (2013.01); A61B 2562/0247 (2013.01); A61B 2562/0252 (2013.01); A61C 17/16 (2013.01); A61C 17/3409 (2013.01); B26B 21/4056 (2013.01); B26B 21/4081 (2013.01); G06F 2218/16 (2023.01);
Abstract

A system for classifying the usage of a handheld consumer device having a sensor and an analyzer. The sensor determines usage data at successive time instants and provides a temporally successive sequence of usage data during a usage session. The analyzer classifies the usage of the device with respect to at least one set usage classes and assembles a temporally successive sequence of input tuples of usage data relating to a predetermined time period of the usage session, each of the input tuples having at least one element representing the usage data at the respective time instant and for inputting the sequence of input tuples into at least one artificial neural network arranged to output at least one output tuple comprising a number of elements in accordance with the number of usage classes, each element of the output tuple representing a prediction value that the usage of the consumer device at the given time instant relates to a respective usage class.


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