SYSTEM AND METHOD FOR MANAGING MOBILE COMMUNICATIONS

• US 20130029647A1
• Filed: 10/05/2012
• Published: 01/31/2013
• Est. Priority Date: 09/28/2010
• Status: Active Grant

• Current Assignee: Datum Point Labs, Inc. (Michael T. Lucas)
• Original Assignee: e.Digital Corporation
• Inventors: Nunally, Patrick O'Neal
• Granted Patent: US 9,002,331 B2
• Time in Patent Office: Days
• US Class Current: 455/414.1
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 30/0261 based on user location
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/53 using third party service providers
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04M 1/72454 according to context-related or environment-related conditions
• CPC Class Codes: H04M 2203/655 Combination of telephone service and social networking messaging within social networks H04L51/52
• CPC Class Codes: H04M 2242/04 for emergency applications
• CPC Class Codes: H04M 2242/30 Determination of the location of a subscriber
• CPC Class Codes: H04M 3/42348 Location-based services which utilize the location information of a target
• 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 4/21 for social networking applications
• CPC Class Codes: H04W 4/90 Services for handling of emergency or hazardous situations, e.g. earthquake and tsunami warning systems [ETWS]

Abstract

A device to automatically provide differing information levels according to a predetermined social hierarchy includes a memory and a processor. The memory stores social templates corresponding to unique social signatures and being selectable to provide, for each level of the predetermined social hierarchy, a corresponding differing amount of information to each member of the predetermined social hierarchy and/or a social networking service. The processor receives sensor data from a sensor set which detects sensor data related to an environment of a communication device, creates a detected social signature from the received sensor data, determines which of the social signatures of the social templates has the greatest correspondence with the created social signature, retrieves from the memory the determined one social template having the greatest correspondence, and provides only as much information as allowed in the retrieved social template.

Claims

1. A method for transmitting data, comprising:

acquiring no less than two sensor readings, whereby the step of acquiring is performed by a user device;

generating a social signature associated with said no less than two sensor readings;

identifying a particular social template corresponding to said generated social signature; and

transmitting data based on said identified social template, whereby one or more requirements defined by a social hierarchy restricts the set of target devices to which the data is transmitted.

2. The method of claim 1, wherein:

the step of identifying includes determining whether the one or more requirements are satisfied by the social signature; and

the step of transmitting includes transmitting data to one or more target devices.

3. The method of claim 1, wherein:

the step of identifying includes determining whether the one or more requirements are satisfied by the social signature; and

the step of transmitting includes transmitting a data message, a data file, or a data stream.

4. The method of claim 1, wherein:

the step of identifying a particular social template is performed using one of a voice recognition, a facial recognition, a machine learning, or a pattern recognition technique on the acquired sensor information; and

the particular social template is one of recognition of a particular person, recognition of a particular place, recognition of a particular activity, recognition of a circumstance or recognition of a particular object.

5. The method of claim 1, wherein:

the social signature includes location and time information associated with said acquired no less than two sensor readings, the location information includes a GPS location, the time information includes a particular date and time associated with the no less than two sensor readings.

6. The method of claim 1, wherein:

the social template includes location and time information associated with the client device, the location information includes a GPS location, the time information includes a particular date and time associated with the no less than two sensor readings.

7. The method of claim 1, wherein:

the step of generating the social signature includes acquiring calendar information associated with a user of the client device; and

the social signature includes a description of a calendar event associated with the user of the client device, the calendar event associated with a particular time at which the step of acquiring is performed.

8. The method of claim 1, wherein:

the step of generating the social signature includes acquiring calendar information associated with a user of the client device; and

the social template includes a description of a calendar event associated with the user of the client device.

9. The method of claim 1, wherein:

the step of transmitting data based on said identified social template, is based on one or more requirements defined by the social hierarchy which include determining whether a target device is provisioned to receive said data transfer from a server.

10. The method of claim 1, wherein:

the step of transmitting data based on said identified social template includes transmitting a data transfer request to the target device, transmitting data based on the social template to the target device, and receiving approval for a data transfer from a server to a second target device.

11. The method of claim 1, wherein:

said transmitted data represents a message, a command, a file, an application or a data stream.

12. The method of claim 1, wherein:

the step of transmitting data based on said identified social template includes determining whether a social hierarchy is satisfied by the said identified social template.

13. The method of claim 1, wherein:

the client device is a mobile device; and

the target device is a non-mobile device.

14. The method of claim 1, wherein:

the client device is a mobile device; and

the target device is a mobile device.

15. The method of claim 1, wherein:

the client device is a non-mobile device; and

the target device is a mobile device.

16. The method of claim 1, wherein:

the client device is a non-mobile device; and

the target device is a non-mobile mobile device.

17. A method for distributing data, comprising:

acquiring no less than two sensor readings, whereby the step of acquiring is performed by a client device'"'"'s transmission of sensor information via a network to a server;

generating a social signature associated with said no less than two sensor readings;

identifying a particular social template corresponding to said generated social signature;

detecting a transmit condition whereby one or more requirements defined by a social hierarchy limits the set of target devices to receive data; and

automatically transmitting data to the allowable set of target devices in response to the detected transmit condition.

18. The method of claim 17, wherein:

the social template includes location and time information associated with the client device, the location information includes a GPS location, the time information includes a particular date and time associated with the no less than two sensor readings.

19. The method of claim 17, wherein:

the social signature includes location and time information associated with the no less than two sensor readings, the location information includes a GPS location, the time information includes a particular date and time associated with the no less than two sensor readings.

20. The method of claim 17, wherein:

the step of identifying a particular social template is performed using one of a voice recognition, a facial recognition, a machine learning, or a pattern recognition technique on the sensor information; and

the particular social template is one of recognition of a particular person, recognition of a particular place, recognition of a particular activity, recognition of a circumstance or recognition of a particular object.

21. A method for receiving data, comprising:

acquiring data based on no less than one social template of a first device;

acquiring no less than two sensor readings, the step of acquiring is performed by a second device;

generating a social signature associated with said no less than two sensor readings;

identifying a particular social template corresponding to said generated social signature;

detecting a receive condition whereby one or more requirements defined by a social hierarchy determine when to receive data associated with said first device; and

receiving the data associated with one of the social templates of a first device.

22. An electronic device for transmitting data, comprising:

an optical sensor, an audio sensor, an accelerometer and a GPS sensor to capture data; and

one or more processors, the one or more processors in communication with said optical sensor, said audio sensor, said accelerometer and said GPS sensor, the one or more processors receive one or more data transmissions representing a social signature, one or more social signatures are analyzed for correspondence to at least one social template, the one or more processors determine whether one or more requirements of a social template are satisfied by one or more social signatures, the one or more processors transmit data based on a social hierarchy to one or more target devices.

23. The electronic device of claim 22, wherein:

said social signature analysis is performed using one of a voice recognition, a facial recognition, a machine learning, or a pattern recognition technique on the sensor information.

24. The electronic device of claim 22, wherein:

said social signature analysis is performed using one of a voice recognition, a facial recognition, a machine learning, or a pattern recognition technique on the sensor information, includes detection of an emergency condition associated with a particular person.

25. The electronic device of claim 22, wherein:

the social template includes location and time information associated with the client device, the location information includes a GPS location, the time information includes a particular date and time associated with the no less than two sensor readings.

26. The electronic device of claim 22, wherein:

the social signature includes location and time information associated with the no less than two sensor readings, the location information includes a GPS location, the time information includes a particular date and time associated with the no less than two sensor readings.