Local user authentication with neuro and neuro-mechanical fingerprints

• US 9,590,986 B2
• Filed: 02/02/2016
• Issued: 03/07/2017
• Est. Priority Date: 02/04/2015
• Status: Active Grant

• Current Assignee: Proprius Technologies S.A R.L
• Original Assignee: Aerendir Mobile Incorporated, Proprius Technologies SARL
• Inventors: Zizi, Martin, Sharkey, Hugh
• Primary Examiner(s): Schwartz, Darren B
• Application Number:
  US15/013,875
• Publication Number:
  US 20160241554A1
• Time in Patent Office: 399 Days
• US Class Current: 1/1
• CPC Class Codes: G06F 21/32 using biometric data, e.g. fingerprints, iris scans or voiceprints
• 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: G06V 40/10 Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
• CPC Class Codes: G06V 40/19 Sensors therefor
• CPC Class Codes: G06V 40/20 Movements or behaviour, e.g. gesture recognition recognition of facial expressions G06V40/16
• CPC Class Codes: G06V 40/70 Multimodal biometrics, e.g. combining information from different biometric modalities
• CPC Class Codes: H04L 63/0807 using tickets, e.g. Kerberos cryptographic mechanisms or cryptographic arrangements for entity authentication using tickets or tokens H04L9/3213
• CPC Class Codes: H04L 63/0861 using biometrical features, e.g. fingerprint, retina-scan cryptographic mechanisms or cryptographic arrangements for entity authentication using biological data H04L9/3231
• CPC Class Codes: H04L 63/102 Entity profiles

Abstract

In accordance with one embodiment, a method for locally verifying the identification of a user with an electronic device is disclosed. The method includes regenerating a neuro-mechanical fingerprint (NFP) in response to a micro-motion signal sensed at a body part. In response to a plurality of authorized user calibration parameters, a match percentage of the neuro-mechanical fingerprint is determined. The match percentage is determined without the use of a calibration NFP that was previously used to generate the user calibration parameters. Access to the electronic device and its software applications is then controlled by the match percentage. If the match percentage is greater than or equal to an access match level, access to the electronic device is granted. If the match percentage is less than the access match level, access is denied. Subsequent access requires further regeneration of the NFP and a determination of its match percentage in response.

Claims

1. A method to locally authenticate an authorized user and control access to an electronic device, the method comprising:

generating a neuro-mechanical fingerprint for a user in response to a micro-motion signal sensed at a body part of the user using a sensor of the electronic device;

generating a match percentage of the neuro-mechanical fingerprint in response to authorized user calibration parameters;

controlling user access to the electronic device in response to the match percentage;

in response to the match percentage being greater than or equal to an access match level, identifying the user as an authorized user and granting the authorized user access to the electronic device; and

in response to the match percentage being less than a predetermined level, recalibrating the authorized user calibration parameters.

2. The method of claim 1, wherein

the neuro-mechanical fingerprint is a set of values for a plurality of unique features extracted from the micro-motion signal associated with neuro-muscular micro-motions in the body part of the user.

3. The method of claim 2, wherein

the body part of the user is a finger.

4. The method of claim 2, wherein

the body part of the user is a hand.

5. The method of claim 1, wherein

the match percentage is generated without needing a calibration neuro-mechanical fingerprint previously used to generate the user calibration parameters.

6. The method of claim 1, further comprising:

sensing the micro-motion signal at the body part of the user.

7. A method to locally authenticate an authorized user and control access to an electronic device, the method comprising:

generating a neuro-mechanical fingerprint for a user in response to a micro-motion signal sensed at a body part of the user using a sensor of the electronic device;

generating a match percentage of the neuro-mechanical fingerprint in response to authorized user calibration parameters;

controlling user access to the electronic device in response to the match percentage;

in response to the match percentage being greater than or equal to an access match level, the user is as an authorized user and granted access to the electronic device; and

informing the authorized user to voluntarily recalibrate the authorized user calibration parameters in response to the match percentage being less than or equal to a voluntary recalibration level.

8. The method of claim 7, further comprising:

recalibrating the authorized user calibration parameters in response to the authorized user selecting to voluntary recalibrate the authorized user calibration parameters, wherein the voluntary recalibration level has a greater match percentage than the access match level.

9. The method of claim 7, further comprising:

recalibrating the authorized user calibration parameters in response to the match percentage being less than or equal to an involuntary recalibration level, wherein the involuntary recalibration level has a match percentage greater than the access match level and a match percentage less than the voluntary recalibration level.

10. A method comprising:

with a sensor, extracting a first neuro-mechanical fingerprint (NFP) associated with an authorized user,

generating authorized user calibration parameters associated with the authorized user in response to the first neuro-mechanical fingerprint;

with a sensor, extracting a second neuro-mechanical fingerprint associated with an unknown user or the authorized user;

determining a match percentage of the second neuro-mechanical fingerprint in response to the authorized user calibration parameters;

controlling access to an electronic device in response to the match percentage being greater than or equal to an access match level; and

in response to the match percentage being less than a predetermined level, regenerating the authorized user calibration parameters.

11. The method of claim 10, wherein

the first NFP is a calibration NFP and the second NFP is a regenerated NFP associated with the authorized user such that access to the electronic device is granted to the authorized user in response to the match percentage.

12. The method of claim 11, wherein

the calibration NFP is a first set of values for a plurality of unique features extracted from a first micro-motion signal associated with the neuro-muscular micro-motions in a hand of the authorized user;

and

the regeneration NFP is a second set of values for the plurality of unique features extracted from a second micro-motion signal associated with the neuro-muscular micro-motions in the hand of the authorized user.

13. The method of claim 11, wherein

the calibration NFP is a first set of values for a plurality of unique features extracted from a first micro-motion signal associated with the neuro-muscular micro-motions in a finger of the authorized user;

and

the regeneration NFP is a second set of values for the plurality of unique features extracted from a second micro-motion signal associated with the neuro-muscular micro-motions in the finger of the authorized user.

14. The method of claim 10, wherein

the first NFP is a calibration NFP associated with the authorized user and the second NFP is a regenerated NFP associated with the unknown user such that an attempt to access the electronic device by the unknown user is denied in response to the match percentage.

15. The method of claim 14, wherein

the calibration NFP is a first set of values for a plurality of unique features extracted from a first micro-motion signal associated with the neuro-muscular micro-motions in a hand of the authorized user;

and

the regeneration NFP is a second set of values for the plurality of unique features extracted from a second micro-motion signal associated with the neuro-muscular micro-motions in a hand of the unknown user.

16. The method of claim 14, wherein

the calibration NFP is a first set of values for a plurality of unique features extracted from a first micro-motion signal associated with the neuro-muscular micro-motions in a finger of the authorized user;

and

the regeneration NFP is a second set of values for the plurality of unique features extracted from a second micro-motion signal associated with the neuro-muscular micro-motions in a finger of the unknown user.

17. A physiological authentication controller to control access to an electronic device, the physiological authentication controller comprising:

a signal processing module to generate a neuro-mechanical fingerprint for a user;

an authentication classifier module coupled in communication with the signal processing module, the authentication classifier module to generate a match percentage in response to the neuro-mechanical fingerprint and authorized user calibration parameters; and

an authentication controller module coupled in communication with the authentication classifier module, the authentication controller module to control access to the electronic device in response to the match percentage and an access match level, the authentication controller module further causes an authorized user to recalibrate the authentication classifier module with updated authorized user calibration parameters in response to the match percentage being less than a predetermined level.

18. The physiological authentication controller of claim 17, further comprising:

a storage device coupled in communication with the authentication classifier module and the authentication controller module, the storage device storing the authorized user calibration parameters and the access match level.

19. The physiological authentication controller of claim 18, wherein

the storage device further stores the predetermined level.