ESCALATING BIOMETRIC IDENTIFICATION

• US 20150123766A1
• Filed: 10/30/2014
• Published: 05/07/2015
• Est. Priority Date: 11/01/2013
• Status: Abandoned Application

• Current Assignee: St. John, Jerry
• Original Assignee: St. John, Jerry
• Inventors: St. John, Jerry
• Application Number:
  US14/528,500
• Publication Number:
  US 20150123766A1
• Time in Patent Office: Days
• US Class Current: 340/5.84
• CPC Class Codes: G07C 9/25 using biometric data, e.g. fingerprints, iris scans or voice recognition
• CPC Class Codes: G07C 9/257 electronically G07C9/26 takes precedence
• 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: H04W 12/06 Authentication
• CPC Class Codes: H04W 12/33 using wearable devices, e.g. using a smartwatch or smart-glasses
• CPC Class Codes: H04W 12/63 Location-dependent; Proximity-dependent

Abstract

Implementations for enabling escalating biometric identification are described. In one example, the method includes receiving a first biometric identification measurement of a person, comparing the first biometric identification measurement of the person with a stored first biometric identification measurement of the person, determining a first confidence level of a match between the first biometric identification measurement of the person and the stored first biometric identification measurement of the person based on the comparing, and determining whether the first confidence level exceeds a first threshold value.

Claims

1. A method comprising:

receiving, by a processing device, a first biometric identification measurement of a person;

comparing, by the processing device, the first biometric identification measurement of the person with a stored first biometric identification measurement of the person;

determining, by the processing device, a first confidence level of a match between the first biometric identification measurement of the person and the stored first biometric identification measurement of the person based on the comparing;

determining, by the processing device, whether the first confidence level exceeds a first threshold value;

in response to determining that the first confidence level does not exceed the first threshold value;

sending, by the processing device, to a device associated with the person, a message comprising a request for a second biometric identification measurement of the person, wherein the first biometric identification measurement of the person and the second biometric identification measurement of the person are each in a different modality of biometric identification measurements;

receiving, by the processing device, the second biometric identification measurement of the person;

comparing, by the processing device, the second biometric identification measurement of the person with a stored second biometric identification measurement of the person; and

determining, by the processing device, a second confidence level of a match between the second biometric identification measurement of the person and the stored second biometric identification measurement of the person.

2. The method of claim 1, wherein the first biometric identification measurement of the person is one of a keystroke dynamics identification measurement, a voice recognition identification measurement, a facial recognition identification measurement, a fingerprint pattern identification, a heart rate identification measurement, an electro cardiogram identification measurement, a blood pressure identification measurement, a body temperature identification measurement, a brain activity identification measurement, a muscle activity identification measurement, an iris identification measurement, a vein pattern identification measurement, or a gait identification measurement.

3. The method of claim 2, wherein the keystroke dynamics identification measurement is based on at least one of a keystroke flight time, a keystroke dwell time, a keystroke pressure or a virtual key tracing path.

4. The method of claim 3, wherein the first biometric identification measurement of the person comprises a keystroke dynamics identification measurement, further comprising:

determining, by the processing device, whether a device associated with the person is in motion or is stationary;

in response to determining that the device associated with the person is in motion;

lowering the first threshold value; and

determining, by the processing device, whether the first confidence level exceeds the first threshold value based on the lowered first threshold value.

5. The method of claim 3, wherein the first biometric identification measurement of the person comprises a keystroke dynamics identification measurement, further comprising:

determining, by the processing device, whether a device associated with the person is located at a known location of the person;

in response to determining that the device associated with the person is not located at the residency of the person;

lowering the first threshold value; and

determining, by the processing device, whether the first confidence level exceeds the first threshold value based on the lowered first threshold value.

6. The method of claim 1, wherein the first biometric identification measurement of the person comprises a facial recognition identification measurement of the person, further comprising:

determining, by the processing device, whether the device associated with the person is located in an environment having a level of light that does not exceed a lighting threshold value;

in response to determining that the device associated with the person is located in an environment having a level of light that does not exceed the lighting threshold value;

lowering the first threshold value; and

determining, by the processing device, whether the first confidence level exceeds the first threshold value based on the lowered first threshold value.

7. The method of claim 1, wherein the first biometric identification measurement of the person comprises a voice recognition identification measurement of the person, further comprising:

determining, by the processing device, whether a background sound associated with the voice recognition identification measurement of the person exceeds a background sound threshold value;

in response to determining that the background sound associated with the voice recognition identification measurement of the person exceeds the background sound threshold value;

lowering the first threshold value; and

determining, by the processing device, whether the first confidence level exceeds the first threshold value based on the lowered first threshold value.

8. The method of claim 1, wherein the first biometric identification measurement of the person comprises one of a brain activity identification measurement, a muscle activity identification measurement, an electro cardiogram identification measurement, or a blood pressure identification measurement, further comprising:

determining, by the processing device, that the person is potentially under an influence of at least one of alcohol or drug use based on the comparing;

sending, by the processing device, to a device associated with the person, a message comprising a request for at least one of an acuity test or an alcohol breath test of the person;

receiving, by the processing device, at least one of an acuity test result or an alcohol breath test result of the person;

determining, by the processing device, that the person is under an influence of alcohol or drug use based on the at least one of the acuity test or the alcohol breath test result of the person; and

sending, by the processing device, to a designated entity, a message comprising an indication that the person is under the influence of alcohol use or is potentially under the influence of alcohol use.

9. The method of claim 1, further comprising:

determining, by the processing device, that a location of the device associated with the person is different than an expected location of the person; and

in response to determining that the location of the device associated with the person is different than an expected location of the device;

sending, by the processing device, to a designated entity, a message comprising an indication that the person is not located in the expected location of the person.

10. The method of claim 1, further comprising:

determining, by the processing device, that a location of the device associated with the person is approaching or is located in a prohibited area; and

in response to the determining, by the processing device, that the location of the device associated with the person is approaching a prohibited area;

sending, by the processing device, to a designated entity or to the device associated with the person, a message comprising an indication that the person is approaching or is located in a prohibited area.

11. The method of claim 1, further comprising:

determining, by the processing device, whether the second confidence level exceeds a second threshold value;

in response to determining that the second confidence level does not exceed the second threshold value;

sending, by the processing device, to the device associated with the person, a message comprising a request for a third biometric identification measurement of the person, wherein the first biometric identification measurement of the person, the second biometric identification measurement of the person, and the third biometric identification measurement of the person are each in a different modality of biometric identification measurements;

receiving, by the processing device, the third biometric identification measurement of the person;

comparing, by the processing device, the third biometric identification measurement of the person with a stored third biometric identification measurement of the person;

determining, by the processing device, a third confidence level of a match between the third biometric identification measurement of the person and the stored third biometric identification measurement of the person;

determining, by the processing device, whether the third confidence level exceeds a third threshold value;

in response to a determination that the third confidence level does not exceed the third threshold value;

sending, by the processing device, to a designated entity, a message comprising an indication that the device associated with the person is not located in close proximity to the person.

12. A system comprising:

a memory device; and

a processing device, operatively coupled to the memory device, the processing device to;

receive a first biometric identification measurement of a person;

compare the first biometric identification measurement of the person with a stored first biometric identification measurement of the person;

determine a first confidence level of a match between the first biometric identification measurement of the person and the stored first biometric identification measurement of the person based on the comparing;

determine whether the first confidence level exceeds a first threshold value;

in response to a determination that the first confidence level does not exceed the first threshold value;

send, to a device associated with the person, a message comprising a request for a second biometric identification measurement of the person, wherein the first biometric identification measurement of the person and the second biometric identification measurement of the person are each in a different modality of biometric identification measurements;

receive the second biometric identification measurement of the person;

compare the second biometric identification measurement of the person with a stored second biometric identification measurement of the person; and

determine a second confidence level of a match between the second biometric identification measurement of the person and the stored second biometric identification measurement of the person.

13. The system of claim 12, wherein the first biometric identification measurement of the person is one of a keystroke dynamics identification measurement, a voice recognition identification measurement, a facial recognition identification measurement, a fingerprint pattern identification, a heart rate identification measurement, an electro cardiogram identification measurement, a blood pressure identification measurement, a body temperature identification measurement, a brain activity identification measurement, a muscle activity identification measurement, an iris identification measurement, a vein pattern identification measurement, or a gait identification measurement.

14. The system of claim 13, wherein the keystroke dynamics identification measurement is based on at least one of a keystroke flight time, a keystroke dwell time, a keystroke pressure or a virtual key tracing path.

15. The system of claim 14, wherein the first biometric identification measurement of the person comprises a keystroke dynamics identification measurement, further comprising:

determine whether a device associated with the person is in motion or is stationary;

in response to a determination that the device associated with the person is in motion;

lower the first threshold value; and

determine whether the first confidence level exceeds the first threshold value based on the lowered first threshold value.

16. The system of claim 14, wherein the first biometric identification measurement of the person comprises a keystroke dynamics identification measurement, further comprising:

determine whether a device associated with the person is located at a residency of the person;

in response to a determination that the device associated with the person is not located at the residency of the person;

lower the first threshold value; and

determine whether the first confidence level exceeds the first threshold value based on the lowered first threshold value.

17. A non-transitory machine-readable storage medium including instructions that, when accessed by a processing device, cause the processing device to perform operations comprising:

receiving, by a processing device, a first biometric identification measurement of a person;

comparing, by the processing device, the first biometric identification measurement of the person with a stored first biometric identification measurement of the person;

determining, by the processing device, a first confidence level of a match between the first biometric identification measurement of the person and the stored first biometric identification measurement of the person based on the comparing;

determining, by the processing device, whether the first confidence level exceeds a first threshold value;

in response to determining that the first confidence level does not exceed the first threshold value;

sending, by the processing device, to a device associated with the person, a message comprising a request for a second biometric identification measurement of the person, wherein the first biometric identification measurement of the person and the second biometric identification measurement of the person are each in a different modality of biometric identification measurements;

receiving, by the processing device, the second biometric identification measurement of the person;

comparing, by the processing device, the second biometric identification measurement of the person with a stored second biometric identification measurement of the person; and

determining, by the processing device, a second confidence level of a match between the second biometric identification measurement of the person and the stored second biometric identification measurement of the person.

18. The non-transitory machine-readable storage medium of claim 17, wherein the first biometric identification measurement of the person is one of a keystroke dynamics identification measurement, a voice recognition identification measurement, a facial recognition identification measurement, a fingerprint pattern identification, a heart rate identification measurement, an electro cardiogram identification measurement, a blood pressure identification measurement, a body temperature identification measurement, a brain activity identification measurement, a muscle activity identification measurement, an iris identification measurement, a vein pattern identification measurement, or a gait identification measurement.

19. The non-transitory machine-readable storage medium of claim 18, wherein the keystroke dynamics identification measurement is based on at least one of a keystroke flight time, a keystroke dwell time, a keystroke pressure or a virtual key tracing path.

20. The non-transitory machine-readable storage medium of claim 19, wherein the first biometric identification measurement of the person comprises a keystroke dynamics identification measurement, further comprising:

determining, by the processing device, whether a device associated with the person is in motion or is stationary;

in response to determining that the device associated with the person is in motion;

lowering the first threshold value; and

determining, by the processing device, whether the first confidence level exceeds the first threshold value based on the lowered first threshold value.