IP Library Granted Patent US 9,836,896
Granted Patent B2
US 9,836,896 · App. 15/013,810 · Granted Dec 5, 2017

Keyless access control with neuro and neuro-mechanical fingerprints

Inventors: Martin Zizi (Brussels, BE); Hugh Sharkey (Redwood City, CA)
Assignee: Proprius Technologies S.A.R.L
G07C9/00087G06F21/32G06F21/35G07C13/00
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Quick Facts
Patent No.
US 9,836,896
App. No.
15/013,810
Granted
Dec 5, 2017
Kind
B2
Abstract

In accordance with one embodiment, an access control system is disclosed. The access control system comprises an access control panel including a touchable surface, a multi-dimensional touch sensor under the touchable surface, and a processor coupled to the multi-dimensional touch sensor. The multi-dimensional touch sensor captures a multi-dimensional motion signal including a micro-motion signal component representing neuro-mechanical micro-motions of a user touching the multi-dimensional touch sensor. The processor performs signal processing of the multi-dimensional motion signal to obtain the micro-motion signal component; and extracts unique values of predetermined features from the micro-motion signal component to form a neuro-fingerprint (NFP) that uniquely identifies the user. The NFP can be used as a gatekeeper to control entry into homes, offices, buildings, or other real properly typically protected by access control.

Claims (102)

1. An access control system comprising:

an access control panel including

a touchable surface for receiving a user touch comprising a first component and a second component,

the first component comprising a micro-motion that is involuntary for the user,

the second component consisting of a motion repertoire that is voluntary to the user;

a touch sensor under the touchable surface, the touch sensor to capture the user touch;

a processor coupled to the touch sensor, wherein the processor is configured to

identify the first component for the user by using a neurological algorithm;

distinguish the first component from the second component;

perform signal processing of the first component of the user touch to determine a first signal that is based upon the involuntary micro-motion for the user; and

in response to user calibration parameters associated with the user, extract unique values of predetermined features from the first signal to form a first identifier that uniquely identifies the user touching the touch sensor, the first identifier based upon the first component and the neurological algorithm.

2. The access control system of claim 1 ,

wherein the sensor is configured for sensing one or more of:

a resting tremor, an action tremor, a postural tremor, a kinetic tremor, an intention tremor, a task-specific tremor;

a tremor comprising an unintentional, rhythmic muscle movement causing an oscillation in one or more parts of a human body, the tremor having a measurable frequency;

the resting tremor when an affected body part is not active but is supported against gravity;

the action tremor due to voluntary muscle activation;

the postural tremor when a body part is active and supported against gravity;

the kinetic tremor and intention tremor associated with movement, and

the task-specific tremor during specific motions;

wherein the touch further comprises a gravitational component;

wherein the access control system further comprises an access control server coupled in secure communication with the processor of the access control panel, the access control server including a storage device storing a database of N user calibration parameters respectively associated with N authorized users of the access control system,

wherein the access control server is configured to evaluate the first identifier for the user with each of the N user calibration parameters to determine a match percentage greater than or equal to an access grant level, and

wherein the access control server is further configured to grant access to a secured structure or area in response to the match percentage being greater than or equal to the access grant level.

3. The access control system of claim 2 , wherein

the secured structure or area is a building,

the access control panel is coupled to a wall of the building, and

the server momentarily unlocks a door of the building to temporarily grant access into the building through the door.

4. The access control system of claim 2 , wherein

the secured structure or area is gated by a fence, and

the server momentarily unlocks a gate to temporarily grant access into the secured structure or area through the gate.

5. The access control system of claim 1 , wherein the access control panel further includes

a storage device coupled to the processor, the storage device storing N user calibration parameters respectively associated with N authorized users of the access control system;

wherein the processor is further configured to evaluate the first identifier for the user with each of the N user calibration parameters to determine a match percentage greater than or equal to an access grant level, and

wherein the processor is further configured to grant access to a secured structure or area in response to the match percentage being greater than or equal to the access grant level.

6. The access control system of claim 5 , wherein

the secured structure or area is a building,

the access control panel is coupled to a wall of the building, and

the processor momentarily unlocks a door to temporarily grant access to the building through the door.

7. The access control system of claim 5

wherein

the secured structure or area is gated by a fence, and

the processor momentarily unlocks a gate to temporarily grant access into the secured structure or area through the gate.

8. The access control system of claim 5 , wherein

the touch sensor is a three dimensional touch sensor; and

the first signal is a three dimensional motion signal.

9. A method of unlocking a door without a physical key, the method comprising:

sensing a multi-dimensional motion of a body part of a user at a door knob to generate a multi-dimensional motion signal, the multi-dimensional motion comprising a first component having a micro-motion that is involuntary for the user and a second component, the second component consisting of a motion repertoire;

identifying the first component by using a neurological algorithm;

distinguishing the first component of the sensed motion from the second component;

in response to the first component of the multi-dimensional motion signal, generating a first identifier that is unique to the user, the first identifier based upon the first component and the neurological algorithm;

reading, from a storage device, one or more sets of authorized user calibration parameters associated with one or more authorized users;

evaluating the first identifier of the user in response to the sets of authorized user calibration parameters to determine a maximum match percentage;

in response to the maximum match percentage, determining if the user is an authorized user by comparing the maximum match percentage to an authorized user percentage; and

unlocking a door lock for the user in response to the maximum match percentage being greater than or equal to the authorized user percentage.

10. The method of claim 9 , further comprising:

sensing one or more of:

a resting tremor, an action tremor, a postural tremor, a kinetic tremor, an intention tremor, a task-specific tremor;

a tremor comprising an unintentional, rhythmic muscle movement causing an oscillation in one or more parts of a human body, the tremor having a measurable frequency;

the resting tremor when an affected body part is not active but is supported against gravity;

the action tremor due to voluntary muscle activation;

the postural tremor when a body part is active and supported against gravity;

the kinetic tremor and intention tremor associated with movement, and

the task-specific tremor during specific motions;

the multi-dimensional motion further comprising a gravitational component,

wherein the unlocking of the door lock includes withdrawing a dead bolt into the door from an opening in the side of the doorway.

11. The method of claim 9 , wherein

the unlocking of the door lock includes releasing a catch of a latch so that the user may rotate the door knob to open a door.

12. The method of claim 9 , wherein

the door knob is a door handle, and

the unlocking of the door lock includes releasing a catch of a latch so that the user may lift up on the door handle to open a door.

13. The method of claim 9 , wherein

the door knob is a door handle, and

the unlocking of the door lock includes releasing a catch of a latch so that the user may press in on a button to open a door.

14. The method of claim 9 , wherein

the multi-dimensional motion of the body part of the user at the door knob is sensed with a multi-dimensional touch sensor.

15. The method of claim 9 , wherein

at least two dimensional motions of the body part of the user are sensed at the door knob to generate an at least two dimensional motion signal.

16. A method for accessing a building, the method comprising:

receiving a touch of a user at a touchable surface, the touch comprising a first component that includes a micro-motion that is involuntary for the user and a second component, the second component consisting of a motion repertoire;

identifying the first component by using a neurological algorithm;

distinguishing the first component from the second component;

with a three dimensional motion sensor, generating a first signal in response to the first component of the touch of the user;

with an neuro-mechanical fingerprint (NFP) authentication controller, generating a first identifier in response to the first signal, the first identifier based upon the first component and the neurological algorithm;

evaluating the first identifier against a stored user calibration to determine a match percentage; and

in response to the match percentage being greater than or equal to a predetermined match percentage, authorizing access to the building.

17. The method of claim 16 , further comprising:

in response to the match percentage being less than the predetermined match percentage, denying access to the building.

18. The method of claim 16 , further comprising:

in response to authorizing the access to the building, controlling an electronic door lock to unlock a door and grant access to the building.

19. The method of claim 18 , wherein the touchable surface, the three dimensional sensor and the NFP authentication controller are mounted in a hand held housing of a key fob with a radio transmitter, and the method further comprises:

with a radio receiver, receiving a wireless signal from the radio transmitter of the key fob representing the first identifier.

20. The method of claim 16 , further comprising

sensing one or more of:

a resting tremor, an action tremor, a postural tremor, a kinetic tremor, an intention tremor, a task-specific tremor;

a tremor comprising an unintentional, rhythmic muscle movement causing an oscillation in one or more parts of a human body, the tremor having a measurable frequency;

the resting tremor when an affected body part is not active but is supported against gravity;

the action tremor due to voluntary muscle activation;

the postural tremor when a body part is active and supported against gravity;

the kinetic tremor and intention tremor associated with movement, and

the task-specific tremor during specific motions;

wherein the touch further comprises a gravitational component.

Assignments (2)
CHANGE OF NAME Recorded Mar 28, 2016
From: PROPRIOUS TECHNOLOGIES
To: AERENDIR MOBILE, INC.
Reel/Frame 038112/0237 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 28, 2016
From: ZIZI, MARTIN; SHARKEY, HUGH
To: AERENDIR MOBILE INC.
Reel/Frame 037846/0700 →
Continuity (2)
Provisional Application 62112153 · Feb 4, 2015
Related Publication 20160232726A1 · Aug 11, 2016