METHOD AND APPARATUS FOR PROVIDING USER AUTHENTICATION AND IDENTIFICATION BASED ON GESTURES

• US 20140310764A1
• Filed: 04/12/2013
• Published: 10/16/2014
• Est. Priority Date: 04/12/2013
• Status: Abandoned Application

• Current Assignee: Verizon Patent and Licensing Incorporated (Verizon Communications Inc.)
• Original Assignee: Verizon Patent and Licensing Incorporated (Verizon Communications Inc.)
• Inventors: Archer, Steven T., Hubner, Paul V., Donfried, Paul A., Tippett, Peter, Kern, Scott N.
• Application Number:
  US13/861,771
• Publication Number:
  US 20140310764A1
• Time in Patent Office: Days
• US Class Current: 726/1
• CPC Class Codes: G06F 21/31 User authentication

Abstract

An approach is provided for authenticating and/or identifying a user through gestures. A plurality of media data sets of a user performing a sequence of gestures are captured. The media data sets are analyzed to determine the sequence of gestures. Authentication of the user is performed based on the sequence of gestures.

Claims

1. A method comprising:

capturing a plurality of media data sets of a user performing a sequence of gestures;

analyzing the plurality of media data sets to determine the sequence of gestures; and

authenticating the user based on the sequence of gestures.

2. A method of claim 1, wherein the sequence of gestures include body movement gestures, voice gesture, sound gestures, or a combination thereof.

3. A method of claim 2, further comprising:

analyzing the plurality of media data sets to determine one or more features of each of the gestures, one or more features of the sequence of gestures, or a combination thereof;

recognizing the user based on the features of each of the gestures, the features of the sequence of gestures, or a combination thereof,

wherein the features include content information, timing information, ranging information, or a combination thereof, and the authenticating of the user is further based on the recognition.

4. A method of claim 3, wherein the timing information includes a start time, a stop time, an overlapping period, an interval, or a combination thereof, of the sequence of gestures.

5. A method of claim 3, further comprising:

comparing the features associated with the sequence of gestures against features of one or more pre-stored sequences,

wherein the recognition of the user is based on the comparison.

6. A method of claim 3, further comprising:

determining one or more access policies for at least one resource;

applying one or more of the access policies based, at least in part, upon the authenticating of the user; and

causing, at least in part, operation of at least one action with respect to the at least one resource based upon the applied one or more access policies.

7. A method of claim 6, further comprising:

determining context of the authenticating of the user; and

selecting among the features of each of the gestures, the features of the sequence of gestures, or a combination thereof for recognizing the user, based, at least in part, on the context of the authenticating of the user, the applied one or more access policies, or a combination thereof.

8. An apparatus comprising:

at least one processor; and

at least one memory including computer program code for one or more programs,

the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following,

capture a plurality of media data sets of a user performing a sequence of gestures, analyze the plurality of media data sets to determine the sequence of gestures, and authenticate the user based on the sequence of gestures.

9. An apparatus of claim 8, wherein the sequence of gestures include body movement gestures, voice gesture, sound gestures, or a combination thereof.

10. An apparatus of claim 9, wherein the apparatus is further caused to:

analyze the plurality of media data sets to determine one or more features of each of the gestures, one or more features of the sequence of gestures, or a combination thereof;

recognize the user based on the features of each of the gestures, the features of the sequence of gestures, or a combination thereof,

wherein the features include content information, timing information, ranging information, or a combination thereof, and the authenticating of the user is further based on the recognition.

11. An apparatus of claim 10, wherein the timing information includes a start time, a stop time, an overlapping period, an interval, or a combination thereof, of the sequence of gestures.

12. An apparatus of claim 10, wherein the apparatus is further caused to:

compare the features associated with the sequence of gestures against features of one or more pre-stored sequences,

wherein the recognition of the user is based on the comparison.

13. An apparatus of claim 10, wherein the apparatus is further caused to:

determine one or more access policies for at least one resource;

apply one or more of the access policies based, at least in part, upon the authenticating of the user; and

cause, at least in part, operation of at least one action with respect to the at least one resource based upon the applied one or more access policies.

14. An apparatus of claim 13, wherein the apparatus is further caused to:

determine context of the authenticating of the user; and

select among the features of each of the gestures, the features of the sequence of gestures, or a combination thereof for recognizing the user, based, at least in part, on the context of the authenticating of the user, the applied one or more access policies, or a combination thereof.

15. A system comprising:

a computing device configured to,

analyze a plurality of media data sets to determine a sequence of gestures captured by a user device; and

authenticate the user based on the sequence of gestures.

16. A system of claim 15, wherein the sequence of gestures include body movement gestures, voice gesture, sound gestures, or a combination thereof.

17. A system of claim 16, wherein the computing device is further configured to:

analyze the plurality of media data sets to determine one or more features of each of the gestures, one or more features of the sequence of gestures, or a combination thereof;

recognize the user based on the features of each of the gestures, the features of the sequence of gestures, or a combination thereof,

wherein the features include content information, timing information, ranging information, or a combination thereof, and the authenticating of the user is further based on the recognition.

18. A system of claim 17, wherein the timing information includes a start time, a stop time, an overlapping period, an interval, or a combination thereof, of the sequence of gestures.

19. A system of claim 17, wherein the server is further configured to:

compare the features associated with the sequence of gestures against features of one or more pre-stored sequences,

wherein the recognition of the user is based on the comparison.

20. A system of claim 17, wherein the computing device is further configured to:

determine one or more access policies for at least one resource;

apply one or more of the access policies based, at least in part, upon the authenticating of the user; and

cause, at least in part, operation of at least one action with respect to the at least one resource based upon the applied one or more access policies.