System and method for virtual reality content rating using biometric data

Patent metadata

Field	Value
Publication number	US-10402888-B2
Application number	US-201715410584-A
Country	US
Kind code	B2
Filing date	Jan 19, 2017
Priority date	Jan 19, 2017
Publication date	Sep 3, 2019
Grant date	Sep 3, 2019

Abstract

Systems, methods, and computer readable media are provided for automatically personalizing virtual reality content ratings using biometric data on a head-mountable display (HMD) device. A server includes a transceiver configured to transmit and receive data to and from a first electronic device, a memory, and at least one processor operably connected to the memory and the transceiver. The processor(s) is configured to receive application data and biometric data, wherein the biometric data corresponds to the application data from the first electronic device, generate a rating for an application related to the application data, wherein the generated rating is based on the biometric data, and store the generated rating to a database corresponding to the application in an online store.

First claim

What is claimed is:

1. An electronic device comprising:
a transceiver configured to transmit and receive data to and from a first electronic device;
a memory; and
at least one processor connected to the memory and the transceiver, the at least one processor configured to:
receive application data and biometric data, wherein the biometric data corresponds to an application identified by the application data and the application is currently being operated on the first electronic device while the biometric data is captured;
generate a rating of biometric categories based on the biometric data for the application related to the application data;
store the rating in a database corresponding to the application in an online store;
store the rating in a first profile corresponding to the first electronic device;
identify at least one similar profile by comparing the rating with other ratings for the application from a plurality of other profiles; and
generate a recommendation for a second application based on a similar rating to the rating of the application from ratings of other applications from the at least one similar profile.

2. The electronic device of claim 1 , wherein the biometric categories include a motion intensity, an emotional intensity, and a difficulty.

3. The electronic device of claim 1 , wherein the recommendation is generated using collaborative filtering or content collaborative filtering.

4. The electronic device of claim 1 , wherein the at least one processor is further configured to:
update a recommendation collection for the application in the online store based on the rating; and
generate a recommendation for the application to another electronic device using the updated recommendation collection.

5. The electronic device of claim 1 , wherein the rating represents at least one of: a motion intensity, an emotional intensity, or difficulty of the application.

6. The electronic device of claim 1 , wherein the biometric data includes data related to at least one of EEG activity, sweating, or eye tracking of the first electronic device.

7. The electronic device of claim 1 , wherein the biometric data is generated by a head mountable display (HMD) device in communication with a smartphone.

8. A method for managing an online store in a server, the method comprising:
receiving application data and biometric data, wherein the biometric data corresponds to an application identified by the application data and the application is currently being operated on a first electronic device while the biometric data is captured;
generating a rating based on the biometric data for the application related to the application data;
storing the rating in a database corresponding to the application or content in an online store;
storing the rating in a first profile corresponding to the first electronic device;
identifying at least one similar profile by comparing the rating with other ratings for the application from a plurality of other profiles; and
generating a recommendation for a second application based on a similar rating to the rating of the application from ratings of other applications from the at least one similar profile.

9. The method of claim 8 , wherein the recommendation is generated using collaborative filtering or content collaborative filtering.

10. The method of claim 8 , further comprising:
updating a recommendation collection for the application in the online store based on the rating; and
generating a recommendation for the application to another electronic device using the updated recommendation collection.

11. The method of claim 8 , wherein the rating represents at least one of: a motion intensity, an emotional intensity, or difficulty of the application.

12. The method of claim 8 , wherein the biometric data includes data related to at least one of: EEG activity, sweating, or eye tracking of the first electronic device.

13. The method of claim 8 , wherein the biometric data is generated by a head mountable display (HMD) device in communication with a smartphone.

14. A non-transitory computer readable medium embodying a computer program, the computer program comprising computer readable program code that when executed causes at least one processor to:
receive application data and biometric data, wherein the biometric data corresponds to an application identified by the application data and the application is currently being operated on a first electronic device while the biometric data is captured;
generate a rating of biometric categories based on the biometric data for the application related to the application data;
store the rating in a database corresponding to the application in an online store;
store the rating in a first profile corresponding to the first electronic device;
identify at least one similar profile by comparing the rating with other ratings for the application from a plurality of other profiles; and
generate a recommendation for a second application based on a similar rating to the rating of the application from ratings of other applications from the at least one similar profile.

15. The non-transitory computer readable medium of claim 14 , wherein the recommendation is generated using collaborative filtering or content collaborative filtering.

16. The non-transitory computer readable medium of claim 14 , further comprising computer readable program code that when executed causes the at least one processor to:
update a recommendation collection for the application in the online store based on the rating; and
generate a recommendation for the application to another electronic device using the updated recommendation collection.

17. The non-transitory computer readable medium of claim 14 , wherein the rating represents at least one of: a motion intensity, an emotional intensity, or difficulty of the application.

18. The non-transitory computer readable medium of claim 14 , wherein the biometric data includes data related to at least one of: EEG activity, sweating, or eye tracking of the first electronic device.

19. The non-transitory computer readable medium of claim 14 , wherein the biometric data is generated by a head mountable display (HMD) device in communication with a smartphone.

20. A head mountable display (HMD) device comprising:
a transceiver to transmit and receive one or more signals;
a plurality of sensors configured to capture biometric data;
a memory; and
at least one processor connected to the memory, the transceiver, and the plurality of sensors, the at least one processor configured to:
identify an application or content operating while the biometric data is captured, wherein the biometric data corresponds to the application or content currently operating on the HMD;
based on the captured biometric data, generate a rating of biometric categories for the application or content operating on the HMD;
transmit information regarding the rating to an online store; and
receive a recommendation for a second application based on a similar rating to the rating of the application from ratings of other applications from at least one similar profile, where the at least one similar profile is identified by comparing the rating with other ratings for the application from a plurality of other profiles.

21. The HMD device of claim 20 , wherein the rating addresses at least one of: a motion intensity, an emotional intensity, or difficulty of the application.

22. The HMD device of claim 20 ,

Assignees

• Samsung Electronics Co Ltd

Inventors

• King Peter
• Sun Xiang
• Lee Aaron
• Peri Christopher

Classifications

• G06F3/011

  Arrangements for interaction with the human body, e.g. for user immersion in virtual reality (blind teaching G09B21/00) · CPC title

• G06F1/163

  Wearable computers, e.g. on a belt · CPC title

• G06F16/9535

  Search customisation based on user profiles and personalisation · CPC title

• G06F3/015

  Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection · CPC title

• G06F16/24578

  using ranking · CPC title