Gesture fingerprinting

• US 9,652,076 B1
• Filed: 11/02/2016
• Issued: 05/16/2017
• Est. Priority Date: 10/15/2012
• Status: Active Grant

• Current Assignee: Amaze Software Incorporated
• Original Assignee: Famous Industries Incorporated (Famous Enterprises)
• Inventors: Newcomb, Steven E., Lu, Mark H.
• Primary Examiner(s): Osorio, Ricardo L
• Application Number:
  US15/342,000
• Time in Patent Office: 195 Days
• CPC Class Codes: G06F 2203/04104 Multi-touch detection in digitiser, i.e. details about the simultaneous detection of a plurality of touching locations, e.g. multiple fingers or pen and finger
• CPC Class Codes: G06F 2203/04808 Several contacts: gestures triggering a specific function, e.g. scrolling, zooming, right-click, when the user establishes several contacts with the surface simultaneously; e.g. using several fingers or a combination of fingers and pen
• CPC Class Codes: G06F 3/0485 Scrolling or panning
• CPC Class Codes: G06F 3/04883 for inputting data by handwriting, e.g. gesture or text
• CPC Class Codes: G06F 9/451 Execution arrangements for user interfaces

Abstract

Various implementations related to gesture fingerprinting are described. In one such implementation, a computer-implemented method includes receiving input from a user entered via an input device; determining a gesture and one or more attributes associated with the gesture based on the input; matching the gesture to a gesture model for the user using the one or more attributes; and optimizing the gesture model based on subsequent input received from the user.

Claims

1. A computer-implemented method comprising:

receiving a first input from a first user entered via an input device of a computing device associated with the first user;

determining, at a processor of the computing device, a first gesture and one or more attributes associated with the first gesture based on the first input, the first gesture having a first gesture type;

analyzing, at the processor of the computing device, the one or more attributes associated with the first gesture to determine a first variation, of a plurality of variations, of the first gesture that was used by the first user when entered via the input device, the plurality of variations reflecting differences in which a gesture type that is the same gesture type as the first gesture type is entered by different users;

matching, at the processor of the computing device, the first gesture to a first gesture model using the determined first variation; and

rendering a first navigation effect to the first user via a display of the computing device based on the matched first gesture model.

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

receiving a second input from a second user entered via the input device, the second user being different from the first user;

determining, at the processor of the computing device, a second gesture and one or more attributes associated with the second gesture based on the second input, the second gesture having the first gesture type;

analyzing, at the processor of the computing device, the one or more attributes associated with the second gesture to determine a second variation, of a plurality of variations, of the second gesture that was used by the second user when entered via the input device;

matching, at the processor of the computing device, the second gesture to a second gesture model using the determined second variation; and

rendering a second navigation effect to the second user via the display of the computing device based on the matched second gesture model.

3. The computer-implemented method of claim 2, wherein the first gesture model and the second gesture model are different gesture models associated with the same gesture type.

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

maintaining, at the processor of the computing device, a gesture profile for the first user; and

based on the matching of the first gesture to the first gesture model using the determined first variation, adding, at the processor of the computing device, the first gesture model to the gesture profile of the first user.

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

maintaining, at the processor of the computing device, a gesture profile for the second user; and

based on the matching of the second gesture to the second gesture model using the determined second variation, adding, at the processor of the computing device, the second gesture model to the gesture profile of the second user.

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

after rendering the second navigation effect for the second user, receiving, at the processor of the computing device, a subsequent login by the first user; and

responsive to the subsequent login by the first user, applying, at the processor of the computing device, the first gesture model of the first user.

7. The computer-implemented method of claim 1, wherein the plurality of variations associated with the same gesture type is initially patterned after how a plurality of different users input the same gesture type.

8. The computer-implemented method of claim 1, wherein the plurality of variations associated with the same gesture type is reflected by a difference in one or more of a force, intensity, length of time in contact, distance moved, trajectory, path traveled, and intermittence when the same gesture type is input by different users.

9. The computer-implemented method of claim 1, wherein the first input reflects an input provided by the first user using a touch-based user interface.

10. A system comprising:

one or more processors; and

one or more memories storing instructions that, when executed by the one or more processors, cause the system to perform operations including;

receiving a first input from a first user entered via an input device of a computing device associated with the first user;

determining a first gesture and one or more attributes associated with the first gesture based on the first input, the first gesture having a first gesture type;

analyzing the one or more attributes associated with the first gesture to determine a first variation, of a plurality of variations, of the first gesture that was used by the first user when entered via the input device, the plurality of variations reflecting differences in which a gesture type that is the same gesture type as the first gesture type is entered by different users;

matching the first gesture to a first gesture model using the determined first variation; and

rendering a first navigation effect to the first user via a display based on the matched first gesture model.

11. The system of claim 10, wherein the instructions, when executed by the one or more processors, further cause the system to perform operations including:

receiving a second input from a second user entered via the input device, the second user being different from the first user;

determining a second gesture and one or more attributes associated with the second gesture based on the second input, the second gesture having the first gesture type;

analyzing the one or more attributes associated with the second gesture to determine a second variation, of a plurality of variations, of the second gesture that was used by the second user when entered via the input device;

matching the second gesture to a second gesture model using the determined second variation; and

rendering a second navigation effect to the second user via the display based on the matched second gesture model.

12. The system of claim 11, wherein the first gesture model and the second gesture model are different gesture models associated with the same gesture type.

13. The system of claim 11, when executed by the one or more processors, further cause the system to perform operations including:

maintaining a gesture profile for the first user; and

based on the matching of the first gesture to the first gesture model using the determined first variation, adding the first gesture model to the gesture profile of the first user.

14. The system of claim 13, wherein the instructions, when executed by the one or more processors, further cause the system to perform operations including:

maintaining a gesture profile for the second user; and

based on the matching of the second gesture to the second gesture model using the determined second variation, adding the second gesture model to the gesture profile of the second user.

15. The system of claim 11, wherein the instructions, when executed by the one or more processors, further cause the system to perform operations including:

after rendering the second navigation effect for the second user, receiving a subsequent login by the first user; and

responsive to the subsequent login by the first user, applying the first gesture model of the first user.

16. The system of claim 10, wherein the plurality of variations associated with the same gesture type is initially patterned after how a plurality of different users input the same gesture type.

17. The system of claim 10, wherein the plurality of variations associated with the same gesture type is reflected by a difference in one or more of a force, intensity, length of time in contact, distance moved, trajectory, path traveled, and intermittence when the same gesture type is input by different users.

18. The system of claim 10, wherein the first input reflects an input provided by the first user using a touch-based user interface.

19. A system comprising:

means for receiving a first input from a first user entered via an input device of a computing device associated with the first user;

means for determining a first gesture and one or more attributes associated with the first gesture based on the first input, the first gesture having a first gesture type;

means for analyzing the one or more attributes associated with the first gesture to determine a first variation, of a plurality of variations, of the first gesture that was used by the first user when entered via the input device, the plurality of variations reflecting differences in which a gesture type that is the same gesture type as the first gesture type is entered by different users;

means for matching the first gesture to a first gesture model using the determined first variation; and

means for rendering a first navigation effect to the first user via a display of the computing device based on the matched first gesture model.