Smart phone crowd enhancement

• US 9,148,510 B2
• Filed: 06/23/2010
• Issued: 09/29/2015
• Est. Priority Date: 06/23/2009
• Status: Expired due to Fees

• Current Assignee: MEA Mobile Ltd
• Original Assignee: MEA Mobile Ltd
• Inventors: Seymour, Bruce, Walsh, Eamonn, Anthony, Ian
• Primary Examiner(s): Siddiqui, Kashif
• Assistant Examiner(s): Madani, Farideh
• Application Number:
  US13/382,894
• Publication Number:
  US 20120184304A1
• Time in Patent Office: 1,924 Days
• Field of Search: 455/456.3, 455/566, 455/414.1, 4554561-457
• US Class Current: 1/1
• CPC Class Codes: H04L 67/04 specially adapted for terminals or networks with limited capabilities; specially adapted for terminal portability
• CPC Class Codes: H04L 67/303 Terminal profiles
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal
• CPC Class Codes: H04L 67/75 Indicating network or usage conditions on the user display
• CPC Class Codes: H04M 2242/15 Information service where the information is dependent on the location of the subscriber
• CPC Class Codes: H04M 3/42348 Location-based services which utilize the location information of a target
• CPC Class Codes: H04M 3/4872 Non-interactive information services

Abstract

A system for displaying information on multiple mobile devices whereby the information displayed for each device is determined by the device'"'"'s physical location in relation to other devices physical locations. The information may be graphic, text, numerical or audible.

Claims

1. A computer implemented method of facilitating coordinated displays of crowd visual patterns using mobile computing devices, said method comprising:

defining a crowd boundary of a gathered crowd;

dynamically identifying a plurality of mobile computing devices located within said crowd boundary;

at a control device identified from one of said plurality of mobile computing devices, identifying a crowd visual pattern; and

at said control device and based on respective physical attributes of said plurality of mobile computing devices, dynamically converting said crowd visual pattern into respective display information to be displayed on display devices associated with said plurality of mobile computing devices, wherein coordinate display of said respective display information on said display devices render said crowd visual pattern among said gathered crowd;

selecting one or more select devices from said plurality of mobile computing devices;

determining positions and orientations of said plurality of mobile computing devices relative to positions and orientations of said one or more select devices, and wherein further said control device is a select device;

identifying a buffer zone proximate to and outside said crowd boundary; and

upon a detection that said control device has moved in said buffer zone, at said control device, automatically identifying a new control device.

2. The computer implemented method of claim 1 further comprising:

sending a message from said control device to a respective device of said plurality of mobile computing devices, wherein said message comprises converted display information for said respective device; and

rendering said converted display information for display on a display device associated with said respective device.

3. The computer implemented method of claim 2, wherein said rendering comprises synchronizing said display on said display device with an adjacent mobile computing device, and further comprising presenting synchronization performance with respect to said rendering to a user of said respective device on said display device.

4. The computer implemented method of claim 2, wherein said dynamically converting comprises updating said converted display information based on a position change of said respective device to maintain said crowd visual pattern among said gathered crowd.

5. The computer implemented method of claim 1, wherein said identifying said crowd visual pattern comprises identifying said crowd visual pattern responsive to a user input to said control device.

6. The computer implemented method of claim 2, wherein said identifying said crowd visual pattern comprises:

at said respective device, receiving user input for voting on candidate crowd visual patterns; and

at said control device, automatically identifying said crowd visual pattern based on a voting result collected from said plurality of mobile computing devices.

7. The computer implemented method of claim 5 further comprising, at said control device, receiving a candidate crowd visual pattern submitted from said respective device.

8. The computer implemented method of claim 1 further comprising assigning an identifier to each of said plurality of mobile computing devices, wherein said physical attributes comprise display identifiers, display device sizes, orientations, and positions in three-dimensional space.

9. The computer implemented method of claim 2 further comprising, upon a detection of a predetermined motion pattern of said respective device, rendering predetermined display information on said display device and rendering a predetermined audio from said respective device.

10. The computer implemented method of claim 2 further comprising, upon a detection of a predetermined ambient audio cue, rendering predetermined display information on said display device and emitting a predetermined sound from said respective device.

11. The computer implemented method of claim 2 further comprising receiving user input to said respective device for selecting a palette theme for said crowd visual pattern.

12. The computer implemented method of claim 2, wherein said control device and said respective device are configured to operate in different operating systems and communicate using a mobile ad hoc network.

13. The computer implemented method of claim 2, wherein said crowd visual pattern is a three-dimensional image pattern.

14. The computer implemented method of claim 1 further comprising, at said control device, predicting aggregate crowd movements and determining another respective display information of said plurality of mobile computing devices based on said predicting.

15. The computer implemented method of claim 1 further comprising, at said control device, predicting said physical attributes of said plurality of mobile computing devices and determining another respective display information of said plurality of mobile computing devices based on said predicting.

16. A computer implemented method of facilitating coordinated displays of crowd visual patterns using mobile computing devices, said method comprising:

defining a crowd boundary of a gathered crowd;

dynamically identifying a plurality of mobile computing devices located within said crowd boundary;

at a control device identified from one of said plurality of mobile computing devices, identifying a crowd visual pattern;

at said control device and based on respective physical attributes of said plurality of mobile computing devices, dynamically converting said crowd visual pattern into respective display information to be displayed on display devices associated with said plurality of mobile computing devices, wherein coordinate display of said respective display information on said display devices render said crowd visual pattern among said gathered crowd;

sending a message from said control device to a respective device of said plurality of mobile computing devices, wherein said message comprises converted display information for said respective device;

rendering said converted display information for display on a display device associated with said respective device, wherein said rendering comprises synchronizing said display on said display device with an adjacent mobile computing device; and

presenting synchronization performance with respect to said rendering to a user of said respective device on said display device.

17. The computer implemented method of claim 16 further comprising:

selecting one or more select devices from said plurality of mobile computing devices;

determining positions and orientations of said plurality of mobile computing devices relative to positions and orientations of said one or more select devices, and wherein further said control device is a select device;

identifying a buffer zone proximate to and outside said crowd boundary; and

upon a detection that said control device has moved in said buffer zone, at said control device, automatically identifying a new control device.

18. The computer implemented method of claim 16, wherein said dynamically converting comprises updating said converted display information based on a position change of said respective device to maintain said crowd visual pattern among said gathered crowd.

19. The computer implemented method of claim 16, wherein said identifying said crowd visual pattern comprises:

at said respective device, receiving user input for voting on candidate crowd visual patterns; and

at said control device, automatically identifying said crowd visual pattern based on a voting result collected from said plurality of mobile computing devices.

20. The computer implemented method of claim 16 further comprising:

at said control device, predicting aggregate crowd movements and determining another respective display information of said plurality of mobile computing devices based on said predicting.