GESTURE-INITIATED ENCRYPTION USING ERROR CORRECTION CODING

• US 20140258706A1
• Filed: 02/20/2014
• Published: 09/11/2014
• Est. Priority Date: 03/11/2013
• Status: Active Grant

• Current Assignee: Lockheed Martin Corporation (Martin Marietta Corporation)
• Original Assignee: Lockheed Martin Corporation (Martin Marietta Corporation)
• Inventors: HRYBYK, Alexander Gregory, Cockrum, Chris K.
• Granted Patent: US 9,231,924 B2
• Time in Patent Office: Days
• US Class Current: 713/150
• CPC Class Codes: G06F 21/31 User authentication
• CPC Class Codes: H04L 2209/34 Encoding or coding, e.g. Huffman coding or error correction
• CPC Class Codes: H04L 63/0428 wherein the data content is protected, e.g. by encrypting or encapsulating the payload
• CPC Class Codes: H04L 9/0866 involving user or device identifiers, e.g. serial number, physical or biometrical information, DNA, hand-signature or measurable physical characteristics
• CPC Class Codes: H04L 9/3231 Biological data, e.g. fingerprint, voice or retina network architectures or network communication protocols for supporting authentication of entities using biometrical features in a packet data network H04L63/0861

Abstract

Methods and systems for providing gesture-based security are disclosed. For example, a method for establishing secure communications can include receiving one or more human gestures using a sensor on a first device, quantizing the one or more human gestures so as to create a metric of the one or more human gestures, performing an error correction operation on the metric using error correction information derived from a template of the metric to create a corrected metric, performing a hashing operation on the corrected metric to create a metric hash, and comparing the metric hash to a hash of the template to verify that the one or more human gestures sufficiently conform to the template.

Claims

1. A method for establishing secure communications, comprising:

receiving one or more human gestures using a sensor on a first device;

quantizing the one or more human gestures so as to create a metric of the one or more human gestures; and

performing an error correction operation on the metric using error correction information derived from a template of the metric to create a corrected metric.

2. The method of claim 1, further comprising:

performing a hashing operation on the corrected metric to create a metric hash.

3. The method of claim 2, further comprising:

comparing the metric hash to a hash of the template to verify that the one or more human gestures sufficiently conform to the template.

4. The method of claim 2, further comprising:

using the metric hash as an encryption key.

5. The method of claim 1, further comprising:

encoding the metric using the template error correction information to create an error-coded metric; and

communicating the error-coded metric to a second device;

wherein

the error correction operation, the hashing operation and the comparing operation are performed on the second device.

6. The method of claim 1, wherein the one or more human gestures are measured by a touch screen incorporated into the first device.

7. The method of claim 1, wherein the metric includes angular information between discrete locations of the one or more human gestures so as to make the one or more human gestures size invariant.

8. The method of claim 1, further comprising:

deriving the template using a plurality of gesture entries such that the template is a statistical amalgam of the plurality of gesture entries.

9. A method for creating a password, comprising:

receiving a set of one or more human gestures using a sensor on a first device a plurality of times to create a plurality of entries, wherein for each entry the one or more human gestures generally conform with one another;

quantizing each entry to create a plurality of metric entries; and

deriving a template using the plurality of metric entries such that the template is a statistical amalgam of the plurality of metric entries.

10. The method of claim 9, further comprising:

error-coding the template to derive error-correction information that, when applied to each of the plurality of metric entries, the error-correction information will cause each of the metric entries to transform into the template.

11. The method of claim 9, further comprising:

before creating the template, determining whether the one or more human gestures are suitable as a hand-drawn password.

12. The method of claim 11, further comprising:

before creating the template, performing a training routine so as to determining whether the one or more human gestures can be drawn consistently by a user.

13. The method of claim 9, wherein each metric entry includes angular information between discrete gesture locations so as to make the one or more human gestures size invariant.

14. The method of claim 9, wherein the template includes mean angles of the plurality of metric entries.

15. A device for establishing secure communications, comprising:

quantizing circuitry configured to quantize one or more human gestures so as to create a metric of the one or more human gestures; and

error correction circuitry configured to perform an error correction operation on the metric using error correction information derived from a template of the metric to create a corrected metric.

16. The circuit of claim 15, further comprising:

hashing circuitry configured to perform a hashing operation on the corrected metric to create a metric hash.

17. The circuit of claim 16, further comprising:

verification circuitry configured to compare the metric hash to a hash of the template to verify that the one or more human gestures conform to the template.

18. The circuit of claim 15, further comprising:

encoding circuitry configured to encode the metric using the template error correction information to create an error-coded metric; and

input/output circuitry to send the error-coded metric to a second device.

19. The circuit of claim 15, further comprising a sensor, wherein the one or more human gestures are derived using the sensor.

20. The circuit of claim 15, wherein the metric includes angular information between discrete locations of the one or more human gestures so as to make the one or more human gestures size invariant.

21. The circuit of claim 15, wherein the template is a statistical amalgam of a plurality of gesture entries.

22. A device for creating a password, comprising:

a sensor capable of deriving a set of one or more human gestures a plurality of times to create a plurality of entries, wherein for each entry the one or more human gestures generally conform with one another;

quantizing circuitry configured to quantize each entry so as to create a plurality of metric entries; and

template circuitry configured to derive a template using the plurality of metric entries such that the template is a statistical amalgam of the plurality of metric entries.

23. The device of claim 22, further comprising:

error-coding circuitry encode the template to derive error-correction information that, when applied to each of the plurality of metric entries, will enable the metric entries to create a hash that is identical to a hash of the template.

24. The device of claim 22, further comprising:

hashing circuitry to create a hash of the template.

25. The device of claim 22, further comprising:

training circuitry configured to enable a user to perform a training routine so as to determining whether the one or more human gestures can be drawn consistently by the user.

26. The device of claim 22, wherein each metric entry includes angular information between discrete locations of a respective set of gestures so as to make the one or more human gestures size invariant.

27. The device of claim 26, wherein the template is a statistical amalgam of the plurality of metric entries.

28. The device of claim 27, wherein the template includes mean angles of the plurality of metric entries.