Mobile device pairing

• US 9,736,291 B2
• Filed: 12/30/2016
• Issued: 08/15/2017
• Est. Priority Date: 12/30/2011
• Status: Expired due to Fees

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: LinkedIn Corporation (Microsoft Corporation)
• Inventors: Gai, Bowei, Shoup, Matthew David, Brikman, Yevgeniy
• Primary Examiner(s): Shen, Peijie
• Application Number:
  US15/396,074
• Publication Number:
  US 20170177291A1
• Time in Patent Office: 228 Days
• Field of Search: None
• CPC Class Codes: G06F 3/017 Gesture based interaction, e.g. based on a set of recognized hand gestures interaction based on gestures traced on a digitiser G06F3/04883
• CPC Class Codes: G06F 3/03547 Touch pads, in which fingers can move on a surface
• CPC Class Codes: G06F 3/041 Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
• CPC Class Codes: G06F 3/04883 for inputting data by handwriting, e.g. gesture or text
• CPC Class Codes: G06F 3/1454 involving copying of the display data of a local workstation or window to a remote workstation or window so that an actual copy of the data is displayed simultaneously on two or more displays, e.g. teledisplay
• CPC Class Codes: H04M 1/72412 using two-way short-range wireless interfaces
• CPC Class Codes: H04W 12/04 Key management, e.g. using generic bootstrapping architecture [GBA]
• CPC Class Codes: H04W 12/50 Secure pairing of devices
• CPC Class Codes: H04W 12/68 Gesture-dependent or behaviour-dependent
• CPC Class Codes: H04W 4/21 for social networking applications
• CPC Class Codes: H04W 4/80 Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication

Abstract

Systems and methods for pairing electronic devices are provided. In an example embodiment, first motion capture data corresponding to a physical user motion is received from a first device. Second motion capture data corresponding to the physical user motion is received from a second device. Features are extracted from the first motion capture data and the second motion capture data. An association between the first device and the second device is determined based on a comparison of the extracted features. In response to identifying the association between the first and second device, a communicative coupling between the first device and the second device is initiated.

Claims

1. A system comprising:

a processor and a memory comprising instructions which, when executed by the processor, cause the system to;

receive gesture data resulting from a physical user gesture associated with a first device and a second device;

extract from the gesture data a first curved-line between contact points of the physical user gesture on a first touchscreen of the first device and an exit point of the physical user gesture on the first touchscreen;

extract from the gesture data a second curved-line between contact points of the physical user gesture on a second touchscreen of the second device and an entry point of the physical user gesture on the second touchscreen;

determine that the first and second curved-lines correspond to curved-line portions of a same circle based on respective curvatures of the first and second curved-lines and relative positions of the exit point on the first touchscreen and the entry point on the second touchscreen; and

initiate a communicative coupling between the first device and the second device based on the determination.

2. The system of claim 1, wherein the memory further comprises instructions which, when executed by the processor, cause the system to base the initiation of the communicative coupling on a direction determined from the gesture data.

3. The system of claim 1, wherein the memory further comprises instructions which, when executed by the processor, cause the system to base the initiation of the communicative coupling on an angle determined from the gesture data.

4. The system of claim 1, wherein the memory further comprises instructions which, when executed by the processor, cause the system to base the initiation of the communicative coupling on a speed determined from the gesture data.

5. The system of claim 1, wherein the memory further comprises instructions which, when executed by the processor, cause the system to base the initiation of the communicative coupling on an acceleration determined from the gesture data.

6. The system of claim 1, wherein the memory further comprises instructions which, when executed by the processor, cause the system to:

access sensor data for the first device and the second device;

determine a likelihood of an association between particular devices of a plurality of candidate devices using the sensor data; and

identify the first device and the second device from among the plurality of candidate devices based on the determined likelihood.

7. The system of claim 6, wherein the sensor data comprises geolocation data.

8. A method comprising:

receiving gesture data resulting from a physical user gesture associated with a first device and a second device;

extracting from the gesture data a first curved-line between contact points of the physical user gesture on a first touchscreen of the first device and an exit point of the physical user gesture on the first touchscreen;

extracting from the gesture data a second curved-line between contact points of the physical user gesture on a second touchscreen of the second device and an entry point of the physical user gesture on the second touchscreen;

determining that the first and second curved-lines correspond to curved-line portions of a same circle based on respective curvatures of the first and second curved-lines and relative positions of the exit point on the first touchscreen and the entry point on the second touchscreen; and

initiating a communicative coupling between the first device and the second device based on the determination.

9. The method of claim 8, further comprising basing the initiation of the communicative coupling on a direction determined from the gesture data.

10. The method of claim 8, further comprising basing the initiation of the communicative coupling on an angle determined from the gesture data.

11. The method of claim 8, further comprising basing the initiation of the communicative coupling on a speed determined from the gesture data.

12. The method of claim 8, further comprising basing the initiation of the communicative coupling on an acceleration determined from the gesture data.

13. The method of claim 8, further comprising:

accessing sensor data for the first device and the second device;

determining a likelihood of an association between particular devices of a plurality of candidate devices using the sensor data; and

identifying the first device and the second device from among the plurality of candidate devices based on the determined likelihood.

14. The method of claim 13, wherein the sensor data comprises geolocation data.

15. A non-transitory machine-readable medium storing instructions that, when executed by at least one processor of a machine, cause the machine to perform operations comprising:

receiving gesture data resulting from a physical user gesture associated with a first device and a second device;

extracting from the gesture data a first curved-line between contact points of the physical user gesture on a first touchscreen of the first device and an exit point of the physical user gesture on the first touchscreen;

extracting from the gesture data a second curved-line between contact points of the physical user gesture on a second touchscreen of the second device and an entry point of the physical user gesture on the second touchscreen;

determining that the first and second curved-lines correspond to curved-line portions of a same circle based on respective curvatures of the first and second curved-lines and relative positions of the exit point on the first touchscreen and the entry point on the second touchscreen; and

initiating a communicative coupling between the first device and the second device based on the determination.

16. The non-transitory machine-readable medium of claim 15, the operations further comprising basing the initiation of the communicative coupling on a direction determined from the gesture data.

17. The non-transitory machine-readable medium of claim 15, the operations further comprising basing the initiation of the communicative coupling on an angle determined from the gesture data.

18. The non-transitory machine-readable medium of claim 15, the operations further comprising basing the initiation of the communicative coupling on a speed and/or acceleration determined from the gesture data.

19. The non-transitory machine-readable medium of claim 15, the operations further comprising:

accessing sensor data for the first device and the second device;

determining a likelihood of an association between particular devices of a plurality of candidate devices using the sensor data; and

identifying the first device and the second device from among the plurality of candidate devices based on the determined likelihood.

20. The non-transitory machine-readable medium of claim 19, wherein the sensor data comprises geolocation data.