Method for operating a motor vehicle system on the basis of a user-specific user setting, storage medium, assignment device, motor vehicle and sensor device for operating on the internet

Patent metadata

Field	Value
Publication number	US-11021163-B2
Application number	US-201916649836-A
Country	US
Kind code	B2
Filing date	Apr 30, 2019
Priority date	May 14, 2018
Publication date	Jun 1, 2021
Grant date	Jun 1, 2021

Abstract

An approach is described for operating a motor vehicle system based on a user-specific user setting. A provided gene profile file is transferred to a deep learning engine that provides gene patterns of at least one predetermined gene range of persons and a respective preferred user setting for a large number of people. The deep learning engine processes the gene pattern of the person described by the gene profile file to thereby determine a configuration forecast of the user, the configuration forecast including a probability with which the user prefers one of the user settings. A user profile file is selected and transmitted to at least one motor vehicle system for configuring the at least one motor vehicle system based on the forecasted probability.

First claim

The invention claimed is:

1. A method for operating a motor vehicle system based on a user-specific user setting, the method comprising:
providing, by an assignment device, a gene profile file comprising a gene pattern of a user of the motor vehicle system, wherein the gene pattern describes a gene region of a genome of the user;
transferring, by the assignment device, the gene profile file to a deep learning engine;
processing, by the assignment device, the gene pattern based on the gene profile file using the deep learning engine;
operating, by the assignment device, the deep learning engine to provide the gene pattern of the gene region of the genome of the user and a corresponding plurality of preferred user settings;
determining, by the assignment device, a probability of a preferred user setting of the plurality of preferred user settings being a preferred user setting;
in response to the probability of the preferred user setting exceeding a predetermined threshold, selecting, by the assignment device, a user profile file of a plurality of user profile files that comprises a data set for setting at least one parameter of the motor vehicle system according to the preferred user setting; and
transferring, by the assignment device, the selected user profile file to the motor vehicle system for configuring the motor vehicle system.

2. The method of claim 1 , wherein the user profile file further comprises a set of parameter values, the method further comprising:
evaluating, by the assignment device, and by using the deep learning engine, the user profile file on a basis of a plurality of values stored in the assignment device to determine whether the set of parameter values fulfills a predetermined matching criterion that corresponds with an at least partial agreement of a gene pattern described in the user profile file with the gene pattern of the user and the threshold value.

3. The method of claim 1 , further comprising:
receiving the gene profile file from a storage device or a server device external to the motor vehicle.

4. The method of claim 1 , further comprising:
generating the gene profile file based on information on a nucleic acid sequence of a gene segment or data on a microarray analysis of the gene segment.

5. The method of claim 1 , wherein the at least one parameter of the motor vehicle system is a setting of a seating position, an air conditioning system, or a background image of a screen.

6. A storage medium comprising program code which, when executed by a processor of an assignment device, causes the processor to:
provide a gene profile file comprising a gene pattern of a user of a motor vehicle system, wherein the gene pattern describes a gene region of a genome of the user;
transfer the gene profile file to the deep learning engine;
process the gene pattern based on the gene profile file using the deep learning engine;
operate the deep learning engine to provide the gene pattern of the gene region of the genome of the user and a corresponding plurality of preferred user settings;
determine a probability of a preferred user setting of the plurality of preferred user settings being a preferred user setting;
in response to the probability of the preferred user setting exceeding a predetermined threshold, select a user profile file of a plurality of user profile files that comprises a data set for setting at least one parameter of the motor vehicle system according to the preferred user setting; and
transfer the selected user profile file to the motor vehicle system for configuring the motor vehicle system.

7. An assignment device comprising:
a storage device;
a deep learning engine; and
a processor device configured to perform operations stored in the storage device, the operations comprising:
providing a gene profile file comprising a gene pattern of a user of a motor vehicle system, wherein the gene pattern describes a gene region of a genome of the user;
transferring the gene profile file to the deep learning engine;
processing the gene pattern based on the gene profile file using the deep learning engine;
operating the deep learning engine to provide the gene pattern of the gene region of the genome of the user and a corresponding plurality of preferred user settings;
determining a probability of a preferred user setting of the plurality of preferred user settings being a preferred user setting;
in response to the probability of the preferred user setting exceeding a predetermined threshold, selecting a user profile file of a plurality of user profile files that comprises a data set for setting at least one parameter of the motor vehicle system according to the preferred user setting; and
transferring the selected user profile file to the motor vehicle system for configuring the motor vehicle system.

8. The assignment device of claim 7 , wherein the at least one parameter of the motor vehicle system is a setting of a seating position, an air conditioning system, or a background image of a screen.

9. A motor vehicle comprising:
a motor vehicle system including an air conditioning system, a radio, an infotainment system, or a device for adjusting a seating position;
an assignment device comprising:
a storage device;
a deep learning engine; and
a processor device configured to perform operations stored in the storage device, the operations comprising:
providing a gene profile file comprising a gene pattern of a user of the motor vehicle system, wherein the gene pattern describes a gene region of a genome of the user;
transferring the gene profile file to the deep learning engine;
processing the gene pattern based on the gene profile file using the deep learning engine;
operating the deep learning engine to provide the gene pattern of the gene region of the genome of the user and a corresponding plurality of preferred user settings;
determining a probability of a preferred user setting of the plurality of preferred user settings being a preferred user setting;
in response to the probability of the preferred user setting exceeding a predetermined threshold, selecting a user profile file of a plurality of user profile files that comprises a data set for setting at least one parameter of the motor vehicle system according to the preferred user setting; and
transferring the selected user profile file to the motor vehicle system for configuring the motor vehicle system.

10. A server device external to a motor vehicle, comprising:
a communications connection;
an assignment device comprising:
a storage device;
a deep learning engine; and
a processor device configured to perform operations stored in the storage device, the operations comprising:
providing a gene profile file comprising a gene pattern of a user of a motor vehicle system, wherein the gene pattern describes a gene region of a genome of the user;
transferring the gene profile file to the deep learning engine;
processing the gene pattern based on the gene profile file using the deep learning engine;
operating the deep learning engine to provide the gene pattern of the gene region of the genome of the user and a corresponding plurality of preferred user settings;
determining a probability of a preferred user setting of the plurality of preferred user settings being a preferred user setting;
in response to the probability of the preferred user setting exceeding a predetermined threshold, selecting a user profile file of a plurality of user profile files that comprises a data set for setting at least one parameter of the motor vehicle system according to the preferred user setting; and
transferring the selected user profile file via the communications connection to the motor

Assignees

• Audi Ag

Inventors

• Schön Torsten

Classifications

• G06N3/09

  Supervised learning · CPC title

• G06N3/0499

  Feedforward networks · CPC title

• G06N3/08

  Learning methods · CPC title

• B60W40/08 Primary

  related to drivers or passengers · CPC title

• B60W2040/0872

  Driver physiology · CPC title