Techniques for augmented social networking

• US 10,701,114 B2
• Filed: 02/12/2018
• Issued: 06/30/2020
• Est. Priority Date: 04/12/2012
• Status: Active Grant

• Current Assignee: Intel Corporation
• Original Assignee: Intel Corporation
• Inventors: Ratcliff, Joshua J., Lyons, Kenton M.
• Primary Examiner(s): Harrison, Chante E
• Application Number:
  US15/894,747
• Publication Number:
  US 20190036987A1
• Time in Patent Office: 869 Days
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: G06Q 50/10 Services
• CPC Class Codes: G06Q 50/40 Business processes related to the transportation industry shipping G06Q10/083
• CPC Class Codes: G06T 19/006 Mixed reality object pose determination, tracking or camera calibration for mixed reality G06T7/00
• CPC Class Codes: G06V 40/10 Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
• CPC Class Codes: H04L 65/403 Arrangements for multi-party communication, e.g. for conferences data switching systems for conference H04L12/18; arrangements for connecting several subscribers to a common circuit, i.e. affording conference facilities H04M3/56; television conferencing systems H04N7/15
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• CPC Class Codes: H04W 4/30 Services specially adapted for particular environments, situations or purposes

Abstract

Techniques for augmented social networking may include receiving an image. After receiving an image, in real time, an identity of a person in the image may be determined. Association information for the person based on the identity and one or more defined parameters may be determined. The defined parameters may represent electronic communication. Location information of the person may be determined. The association information may be presented proximate to the person in an augmented reality view using the location information. Other embodiments are described and claimed.

Claims

1. A computer-implemented method, comprising:

receiving an image;

determining, responsive to receiving the image, an identity of a plurality of people in the image;

compiling electronic communication associated with the plurality of people in the image based on the identity of the plurality of people;

characterizing the electronic communication based on a characteristic of the electronic communication, the characteristic of the electronic communication comprising one or more a length of time or a frequency;

creating social graph metadata comprising association information for the plurality of people, the social graph metadata created based on the length of time of the electronic communication, the frequency of the electronic communication, or both the length of time and the frequency of the electronic communication;

selecting at least a first one of the plurality of people based on the association information;

determining location information of the at least first one of the plurality of people; and

presenting the association information proximate to the at least first one of the plurality of people in an augmented reality view using the location information and the social graph metadata.

2. The computer-implemented method of claim 1, comprising:

analyzing one or more of electronic mail, instant messaging, short message service or social networking information.

3. The computer-implemented method of claim 1, comprising:

utilizing the social graph metadata to retrieve the association information for presentation.

4. The computer-implemented method of claim 1, comprising:

analyzing the electronic communication using one or more of semantic analysis, natural language processing or statistical analysis.

5. The computer-implemented method of claim 1, comprising:

determining the location information of the at least first one of the plurality of people via a stereo camera.

6. The computer-implemented method of claim 1, comprising:

receiving the location information from a computing device over a wireless connection.

7. The computer-implemented method of claim 1, comprising:

receiving the location information via an infrastructure device.

8. The computer-implemented method of claim 1, comprising:

determining the location information of the at least first one of the plurality of people via one or more of a stereo camera or an infrared sensor in a physical location.

9. The computer-implemented method of claim 1, comprising:

determining the identity of the plurality of people via facial recognition.

10. The computer-implemented method of claim 1, comprising:

determining the identity of the plurality of people by comparing a first photograph taken from the image to a second photograph taken by the electronic communication.

11. The computer-implemented method of claim 1, comprising:

presenting at least part of the association information above a position of the at least first one of the plurality of people in the augmented reality view.

12. The computer-implemented method of claim 1, comprising:

rendering the augmented reality view on a semi-transparent eyeglass display.

13. The computer-implemented method of claim 1, comprising:

ranking the plurality of people based in part on the association information; and

selecting the at least first one of the plurality of people based in part on the rank.

14. An apparatus, comprising:

a processor circuit; and

memory comprising instructions that when executed by the processor circuit cause the processor circuit to;

receive an image;

determine, responsive to receiving the image, an identity of a plurality of people in the image;

compile electronic communication associated with the plurality of people in the image based on the identity of the plurality of people;

characterize the electronic communication based on a characteristic of the electronic communication, the characteristic of the electronic communication comprising one or more a length of time or a frequency;

create social graph metadata comprising association information for the plurality of people, the social graph metadata created based on the length of time of the electronic communication, the frequency of the electronic communication, or both the length of time and the frequency of the electronic communication;

select at least a first one of the plurality of people based on the association information;

determine location information of the at least one of the plurality of people; and

utilize the social graph metadata to retrieve the association information for presentation; and

present the association information proximate to the at least one of the plurality of people in an augmented reality view using the location information.

15. The apparatus of claim 14, comprising:

a digital antenna operatively coupled to the processor circuit.

16. The apparatus of claim 14, comprising:

a camera operatively coupled to the processor circuit, the camera to capture the image.

17. The apparatus of claim 14, comprising:

a digital display operatively coupled to the processor circuit.

18. The apparatus of claim 14, comprising:

a semi-transparent eyeglass display operatively coupled to the processor circuit.

19. The apparatus of claim 14, the instructions, when executed by the processor circuit cause the processor circuit to:

rank the plurality of people based in part on the association information; and

select the at least first one of the plurality of people based in part on the rank.

20. At least one non-transitory computer-readable medium comprising a set of instructions that, in response to being executed by a processor circuit, cause the processor circuit to:

receive an image;

determine, responsive to receiving the image, an identify of a plurality of people in the image;

compile electronic communication associated with the plurality of people in the image based on the identity of the plurality of people;

characterize the electronic communication based on a characteristic of the electronic communication, the characteristic of the electronic communication comprising one or more a length of time or a frequency;

create social graph metadata comprising association information for the plurality of people, the social graph metadata created based on the length of time of the electronic communication, the frequency of the electronic communication, or both the length of time and the frequency of the electronic communication;

select at least a first one of the plurality of people based on the association information;

determine location information of the at least one of the plurality of people; and

present the association information proximate to the at least one of the plurality of people in an augmented reality view using the location information and the social graph metadata.

21. The at least one non-transitory computer-readable medium of claim 20, comprising instructions that, in response to being executed by the processor circuit, cause the processor circuit to analyze one or more of electronic mail, instant messaging, short message service or social networking information.

22. The at least one non-transitory computer-readable medium of claim 20, comprising instructions that, in response to being executed by the processor circuit, cause the processor circuit to utilize the social graph metadata to retrieve the association information for presentation.

23. The at least one non-transitory computer-readable medium of claim 20, comprising instructions that, in response to being executed by the processor circuit, cause the processor circuit to analyze the electronic communication using one or more of semantic analysis, natural language processing or statistical analysis.

24. The at least one non-transitory computer-readable medium of claim 20, comprising instructions that, in response to being executed by the processor circuit, cause the processor circuit to:

rank the plurality of people based in part on the association information; and

select the at least first one of the plurality of people based in part on the rank.